downloading reverse dependencies ... downloading annotator_0.0.3.1.tar.gz ... ok downloading blogdown_1.20.tar.gz ... ok downloading bookdown_0.42.tar.gz ... ok downloading box.linters_0.10.5.tar.gz ... ok downloading clinDataReview_1.6.1.tar.gz ... ok downloading clintrialx_0.1.0.tar.gz ... ok downloading daiquiri_1.1.1.tar.gz ... ok downloading details_0.4.0.tar.gz ... ok downloading distill_1.6.tar.gz ... ok downloading emayili_0.9.3.tar.gz ... ok downloading fabR_2.1.0.tar.gz ... ok downloading ftExtra_0.6.4.tar.gz ... ok downloading gitignore_0.1.8.tar.gz ... ok downloading gofigR_0.2.2.tar.gz ... ok downloading highr_0.11.tar.gz ... ok downloading HLAtools_1.3.0.tar.gz ... ok downloading htmlreportR_1.0.0.tar.gz ... ok downloading juicedown_0.1.1.tar.gz ... ok downloading knitr_1.49.tar.gz ... ok downloading knitrdata_0.6.1.tar.gz ... ok downloading leaflet_2.2.2.tar.gz ... ok downloading link2GI_0.6-2.tar.gz ... ok downloading litedown_0.5.tar.gz ... ok downloading markdown_1.13.tar.gz ... ok downloading mathml_1.3.tar.gz ... ok downloading MDMAPR_0.2.3.tar.gz ... ok downloading minidown_0.4.0.tar.gz ... ok downloading NMsim_0.1.6.tar.gz ... ok downloading pagedown_0.22.tar.gz ... ok downloading personalr_1.0.3.tar.gz ... ok downloading pmxcode_0.1.4.tar.gz ... ok downloading qwraps2_0.6.1.tar.gz ... ok downloading ratlas_0.1.0.tar.gz ... ok downloading rcompendium_1.3.tar.gz ... ok downloading Rd2roxygen_1.16.tar.gz ... ok downloading rebib_0.5.0.tar.gz ... ok downloading rjtools_1.0.18.tar.gz ... ok downloading rmarkdown_2.29.tar.gz ... ok downloading rtemps_0.8.0.tar.gz ... ok downloading rticles_0.27.tar.gz ... ok downloading SASmarkdown_0.8.2.tar.gz ... ok downloading scientific_2025.0.tar.gz ... ok downloading sendigR_1.0.0.tar.gz ... ok downloading servr_0.32.tar.gz ... ok downloading shinyMixR_0.5.0.tar.gz ... ok downloading Statamarkdown_0.9.2.tar.gz ... ok downloading texor_1.5.3.tar.gz ... ok downloading tinytex_0.54.tar.gz ... ok downloading tufte_0.13.tar.gz ... ok downloading uavRmp_0.7.tar.gz ... ok downloading vitae_0.6.0.tar.gz ... ok downloading voiceR_0.1.0.tar.gz ... ok downloading worcs_0.1.17.tar.gz ... ok downloading xaringan_0.30.tar.gz ... ok downloading accessr_1.1.1.tar.gz ... ok downloading BRcal_1.0.1.tar.gz ... ok downloading campsis_1.6.0.tar.gz ... ok downloading campsismod_1.2.0.tar.gz ... ok downloading curephEM_0.3.0.tar.gz ... ok downloading ddtlcm_0.2.1.tar.gz ... ok downloading exams2forms_0.1-0.tar.gz ... ok downloading FGLMtrunc_0.1.0.tar.gz ... ok downloading glmnet_4.1-8.tar.gz ... ok downloading graphicalMCP_0.2.6.tar.gz ... ok downloading hdcate_0.1.0.tar.gz ... ok downloading islasso_1.5.2.tar.gz ... ok downloading leaflet.extras_2.0.1.tar.gz ... ok downloading leaflet.extras2_1.3.0.tar.gz ... ok downloading mfp2_1.0.0.tar.gz ... ok downloading mimsy_0.6.5.tar.gz ... ok downloading MPSEM_0.5-1.tar.gz ... ok downloading multiview_0.8.tar.gz ... ok downloading pathwayTMB_0.1.3.tar.gz ... ok downloading plasso_0.1.2.tar.gz ... ok downloading pMEM_0.1-1.tar.gz ... ok downloading polished_0.8.1.tar.gz ... ok downloading public.ctn0094data_1.0.6.tar.gz ... ok downloading quarto_1.4.4.tar.gz ... ok downloading RWsearch_5.2.0.tar.gz ... ok downloading shinymeta_0.2.0.3.tar.gz ... ok downloading socialranking_1.2.0.tar.gz ... ok downloading webexercises_1.1.0.tar.gz ... ok installing dependencies ‘automagic’, ‘BayesLogit’, ‘bsicons’, ‘campsismod’, ‘caper’, ‘cffr’, ‘cicerone’, ‘cld2’, ‘cld3’, ‘cleanrmd’, ‘clinUtils’, ‘codemetar’, ‘collapsibleTree’, ‘coveffectsplot’, ‘ctv’, ‘curl’, ‘distill’, ‘exams’, ‘exifr’, ‘findR’, ‘foghorn’, ‘FSA’, ‘gMCP’, ‘gpg’, ‘hdm’, ‘inTextSummaryTable’, ‘jinjar’, ‘JuliaCall’, ‘katex’, ‘keys’, ‘latexpdf’, ‘link2GI’, ‘litedown’, ‘log4r’, ‘logr’, ‘lrstat’, ‘maftools’, ‘Microsoft365R’, ‘missRanger’, ‘mrgsolve’, ‘nlmixr2’, ‘nlmixr2est’, ‘NMcalc’, ‘NMdata’, ‘officedown’, ‘otp’, ‘papaja’, ‘patientProfilesVis’, ‘phia’, ‘plumber’, ‘prereg’, ‘prettycode’, ‘prompt’, ‘qrcode’, ‘R3port’, ‘rcompanion’, ‘rebib’, ‘relations’, ‘revealjs’, ‘rgrass’, ‘rhino’, ‘rhub’, ‘rjtools’, ‘rolog’, ‘rUM’, ‘scriptName’, ‘sig’, ‘simpar’, ‘sos’, ‘soundgen’, ‘spatialEco’, ‘tarchetypes’, ‘targets’, ‘tidySEM’, ‘tidyvpc’, ‘tracee’, ‘treesitter’, ‘treesitter.r’, ‘vcdExtra’, ‘xfun’, ‘xpose’, ‘xpose.nlmixr2’, ‘yyjsonr’ Warning: package ‘simpar’ is not available for this version of R A version of this package for your version of R might be available elsewhere, see the ideas at https://cran.r-project.org/doc/manuals/r-devel/R-admin.html#Installing-packages also installing the dependencies ‘tmvnsim’, ‘box.linters’, ‘box.lsp’, ‘codemeta’, ‘secretbase’, ‘rswipl’, ‘nlmixr2extra’, ‘nlmixr2plot’, ‘n1qn1’, ‘phonTools’, ‘nonlinearTseries’, ‘tinylabels’, ‘rmdfiltr’, ‘blavaan’, ‘bain’, ‘nonnest2’, ‘CommonJavaJars’, ‘JavaGD’ begin installing package ‘tmvnsim’ begin installing package ‘box.lsp’ begin installing package ‘codemeta’ begin installing package ‘secretbase’ begin installing package ‘rswipl’ begin installing package ‘n1qn1’ begin installing package ‘phonTools’ begin installing package ‘curl’ begin installing package ‘tinylabels’ begin installing package ‘xfun’ begin installing package ‘bain’ begin installing package ‘nonnest2’ begin installing package ‘CommonJavaJars’ begin installing package ‘JavaGD’ begin installing package ‘keys’ begin installing package ‘prettycode’ begin installing package ‘treesitter’ begin installing package ‘treesitter.r’ begin installing package ‘cld2’ begin installing package ‘cld3’ begin installing package ‘jinjar’ begin installing package ‘qrcode’ begin installing package ‘scriptName’ begin installing package ‘rgrass’ begin installing package ‘NMdata’ begin installing package ‘tidyvpc’ begin installing package ‘NMcalc’ begin installing package ‘bsicons’ * installing *source* package ‘prettycode’ ... ** this is package ‘prettycode’ version ‘1.1.0’ ** package ‘prettycode’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (prettycode) begin installing package ‘cicerone’ * installing *source* package ‘codemeta’ ... ** this is package ‘codemeta’ version ‘0.1.1’ ** package ‘codemeta’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (codemeta) begin installing package ‘logr’ * installing *source* package ‘NMcalc’ ... ** this is package ‘NMcalc’ version ‘0.0.4’ ** package ‘NMcalc’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (NMcalc) begin installing package ‘xpose’ * installing *source* package ‘CommonJavaJars’ ... ** this is package ‘CommonJavaJars’ version ‘1.1-0’ ** package ‘CommonJavaJars’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (CommonJavaJars) begin installing package ‘log4r’ * installing *source* package ‘box.lsp’ ... ** this is package ‘box.lsp’ version ‘0.1.3’ ** package ‘box.lsp’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (box.lsp) begin installing package ‘spatialEco’ * installing *source* package ‘tmvnsim’ ... ** this is package ‘tmvnsim’ version ‘1.0-2’ ** package ‘tmvnsim’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpA4btTt/R.INSTALL1ef767685cc23/tmvnsim/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Fortran2CWrapper.c -o Fortran2CWrapper.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c tmvnghk.f90 -o tmvnghk.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o tmvnsim.so Fortran2CWrapper.o tmvnghk.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpA4btTt/R.INSTALL1ef767685cc23/tmvnsim/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-tmvnsim/00new/tmvnsim/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tmvnsim) begin installing package ‘FSA’ * installing *source* package ‘keys’ ... ** this is package ‘keys’ version ‘0.1.1’ ** package ‘keys’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (keys) begin installing package ‘phia’ * installing *source* package ‘scriptName’ ... ** this is package ‘scriptName’ version ‘1.0.1’ ** package ‘scriptName’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (scriptName) begin installing package ‘missRanger’ * installing *source* package ‘tinylabels’ ... ** this is package ‘tinylabels’ version ‘0.2.4’ ** package ‘tinylabels’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tinylabels) begin installing package ‘campsismod’ * installing *source* package ‘bsicons’ ... ** this is package ‘bsicons’ version ‘0.1.2’ ** package ‘bsicons’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bsicons) begin installing package ‘mrgsolve’ * installing *source* package ‘qrcode’ ... ** this is package ‘qrcode’ version ‘0.3.0’ ** package ‘qrcode’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (qrcode) begin installing package ‘BayesLogit’ * installing *source* package ‘secretbase’ ... ** this is package ‘secretbase’ version ‘1.0.4’ ** package ‘secretbase’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpGoxPLx/R.INSTALL1ef78132c52b95/secretbase/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c base.c -o base.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c secret.c -o secret.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c secret2.c -o secret2.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c secret3.c -o secret3.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o secretbase.so base.o init.o secret.o secret2.o secret3.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpGoxPLx/R.INSTALL1ef78132c52b95/secretbase/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-secretbase/00new/secretbase/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (secretbase) begin installing package ‘lrstat’ * installing *source* package ‘nonnest2’ ... ** this is package ‘nonnest2’ version ‘0.5-8’ ** package ‘nonnest2’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nonnest2) begin installing package ‘prompt’ * installing *source* package ‘treesitter.r’ ... ** this is package ‘treesitter.r’ version ‘1.1.0’ ** package ‘treesitter.r’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpv609kI/R.INSTALL1ef7a736c212a3/treesitter.r/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c binding.c -o binding.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c parser.c -o parser.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c scanner.c -o scanner.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o treesitter.r.so binding.o init.o parser.o scanner.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpv609kI/R.INSTALL1ef7a736c212a3/treesitter.r/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-treesitter.r/00new/treesitter.r/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (treesitter.r) begin installing package ‘hdm’ * installing *source* package ‘logr’ ... ** this is package ‘logr’ version ‘1.3.8’ ** package ‘logr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (logr) begin installing package ‘yyjsonr’ * installing *source* package ‘log4r’ ... ** this is package ‘log4r’ version ‘0.4.4’ ** package ‘log4r’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpW8Bs0H/R.INSTALL1eff185d8f2223/log4r/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c log4r.c -o log4r.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c logfmt.c -o logfmt.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o log4r.so log4r.o logfmt.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpW8Bs0H/R.INSTALL1eff185d8f2223/log4r/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-log4r/00new/log4r/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (log4r) begin installing package ‘caper’ * installing *source* package ‘missRanger’ ... ** this is package ‘missRanger’ version ‘2.6.1’ ** package ‘missRanger’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (missRanger) begin installing package ‘maftools’ * installing *source* package ‘cicerone’ ... ** this is package ‘cicerone’ version ‘1.0.4’ ** package ‘cicerone’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cicerone) begin installing package ‘otp’ * installing *source* package ‘prompt’ ... ** this is package ‘prompt’ version ‘1.0.2’ ** package ‘prompt’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (prompt) begin installing package ‘vcdExtra’ * installing *source* package ‘phonTools’ ... ** this is package ‘phonTools’ version ‘0.2-2.2’ ** package ‘phonTools’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (phonTools) begin installing package ‘latexpdf’ * installing *source* package ‘rgrass’ ... ** this is package ‘rgrass’ version ‘0.5-2’ ** package ‘rgrass’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rgrass) begin installing package ‘sig’ * installing *source* package ‘JavaGD’ ... ** this is package ‘JavaGD’ version ‘0.6-5’ ** package ‘JavaGD’ successfully unpacked and MD5 sums checked ** using staged installation checking for gcc... gcc-14 -std=gnu23 checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether gcc-14 -std=gnu23 accepts -g... yes checking for gcc-14 -std=gnu23 option to enable C11 features... none needed checking for sys/wait.h that is POSIX.1 compatible... yes checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for string.h... (cached) yes checking for sys/time.h... yes checking for unistd.h... (cached) yes checking for an ANSI C-conforming const... yes checking build system type... x86_64-pc-linux-gnu checking host system type... x86_64-pc-linux-gnu checking for GNU libc compatible malloc... yes checking for memset... yes checking for mkdir... yes checking for rmdir... yes checking for select... yes checking for socket... yes checking Java support in R... present: interpreter : '/usr/bin/java' cpp flags : '-I/usr/lib/jvm/java-21-openjdk-amd64/include -I/usr/lib/jvm/java-21-openjdk-amd64/include/linux' java libs : '-L/usr/lib/jvm/java-21-openjdk-amd64/lib/server -ljvm' checking whether JNI programs can be compiled... yes configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/config.h ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpdCnP3V/R.INSTALL1ef7993faf49dc/JavaGD/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I/usr/lib/jvm/java-21-openjdk-amd64/include -I/usr/lib/jvm/java-21-openjdk-amd64/include/linux -Iinclude -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dummy.c -o dummy.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I/usr/lib/jvm/java-21-openjdk-amd64/include -I/usr/lib/jvm/java-21-openjdk-amd64/include/linux -Iinclude -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c jGDtalk.c -o jGDtalk.o jGDtalk.c:257:13: warning: ‘newJavaGD_Hold’ defined but not used [-Wunused-function] 257 | static void newJavaGD_Hold(NewDevDesc *dd) | ^~~~~~~~~~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I/usr/lib/jvm/java-21-openjdk-amd64/include -I/usr/lib/jvm/java-21-openjdk-amd64/include/linux -Iinclude -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c javaGD.c -o javaGD.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I/usr/lib/jvm/java-21-openjdk-amd64/include -I/usr/lib/jvm/java-21-openjdk-amd64/include/linux -Iinclude -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c s2u.c -o s2u.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o JavaGD.so dummy.o jGDtalk.o javaGD.o s2u.o -L/usr/lib/jvm/java-21-openjdk-amd64/lib/server -ljvm -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpdCnP3V/R.INSTALL1ef7993faf49dc/JavaGD/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-JavaGD/00new/JavaGD/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (JavaGD) begin installing package ‘sos’ * installing *source* package ‘bain’ ... ** this is package ‘bain’ version ‘0.2.11’ ** package ‘bain’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpqy9z42/R.INSTALL1ef78fd44b67f/bain/src' gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bain.f90 -o Bain.o Bain.f90:339:94: 339 | integer :: N, i, j, k, time, nn | 1 Warning: Unused variable ‘nn’ declared at (1) [-Wunused-variable] gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bain_init.c -o bain_init.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o bain.so Bain.o bain_init.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpqy9z42/R.INSTALL1ef78fd44b67f/bain/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-bain/00new/bain/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bain) begin installing package ‘ctv’ * installing *source* package ‘curl’ ... ** this is package ‘curl’ version ‘6.2.1’ ** package ‘curl’ successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS=-I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 Using PKG_LIBS=-lcurl Found recent recent version of libcurl ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpNMcAHi/R.INSTALL1ef76c54fa495/curl/src' rm -f curl.so callbacks.o curl.o download.o dryrun.o escape.o fetch.o findport.o form.o getdate.o handle.o ieproxy.o init.o interrupt.o multi.o nslookup.o options.o reflist.o split.o ssl.o typechecking.o urlparser.o utils.o version.o winidn.o writer.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c callbacks.c -o callbacks.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c curl.c -o curl.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c download.c -o download.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dryrun.c -o dryrun.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c escape.c -o escape.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c fetch.c -o fetch.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c findport.c -o findport.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c form.c -o form.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c getdate.c -o getdate.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c handle.c -o handle.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ieproxy.c -o ieproxy.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c interrupt.c -o interrupt.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c multi.c -o multi.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c nslookup.c -o nslookup.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c options.c -o options.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c reflist.c -o reflist.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c split.c -o split.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ssl.c -o ssl.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c typechecking.c -o typechecking.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c urlparser.c -o urlparser.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c version.c -o version.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c winidn.c -o winidn.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c writer.c -o writer.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o curl.so callbacks.o curl.o download.o dryrun.o escape.o fetch.o findport.o form.o getdate.o handle.o ieproxy.o init.o interrupt.o multi.o nslookup.o options.o reflist.o split.o ssl.o typechecking.o urlparser.o utils.o version.o winidn.o writer.o -lcurl -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpNMcAHi/R.INSTALL1ef76c54fa495/curl/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-curl/00new/curl/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (curl) * installing *source* package ‘xfun’ ... ** this is package ‘xfun’ version ‘0.51’ ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpHeheT8/R.INSTALL1ef7ab2df6a1ca/xfun/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c base64.c -o base64.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o xfun.so base64.o init.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpHeheT8/R.INSTALL1ef7ab2df6a1ca/xfun/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-xfun/00new/xfun/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xfun) begin installing package ‘relations’ begin installing package ‘plumber’ * installing *source* package ‘latexpdf’ ... ** this is package ‘latexpdf’ version ‘0.1.8’ ** package ‘latexpdf’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (latexpdf) begin installing package ‘box.linters’ * installing *source* package ‘sig’ ... ** this is package ‘sig’ version ‘0.0-6’ ** package ‘sig’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sig) begin installing package ‘blavaan’ * installing *source* package ‘otp’ ... ** this is package ‘otp’ version ‘0.1.1’ ** package ‘otp’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (otp) begin installing package ‘litedown’ * installing *source* package ‘sos’ ... ** this is package ‘sos’ version ‘2.1-8’ ** package ‘sos’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sos) begin installing package ‘rhub’ * installing *source* package ‘ctv’ ... ** this is package ‘ctv’ version ‘0.9-6’ ** package ‘ctv’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ctv) begin installing package ‘codemetar’ * installing *source* package ‘caper’ ... ** this is package ‘caper’ version ‘1.0.3’ ** package ‘caper’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (caper) begin installing package ‘gpg’ * installing *source* package ‘hdm’ ... ** this is package ‘hdm’ version ‘0.3.2’ ** package ‘hdm’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hdm) begin installing package ‘Microsoft365R’ * installing *source* package ‘phia’ ... ** this is package ‘phia’ version ‘0.3-1’ ** package ‘phia’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (phia) begin installing package ‘targets’ * installing *source* package ‘BayesLogit’ ... ** this is package ‘BayesLogit’ version ‘2.1’ ** package ‘BayesLogit’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpy2R04D/R.INSTALL1f01633d141547/BayesLogit/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DUSE_R -DNDEBUG -DNTHROW -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c InvertY.cpp -o InvertY.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DUSE_R -DNDEBUG -DNTHROW -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PolyaGamma.cpp -o PolyaGamma.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DUSE_R -DNDEBUG -DNTHROW -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PolyaGammaApproxAlt.cpp -o PolyaGammaApproxAlt.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DUSE_R -DNDEBUG -DNTHROW -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PolyaGammaApproxSP.cpp -o PolyaGammaApproxSP.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -DUSE_R -DNDEBUG -DNTHROW -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DUSE_R -DNDEBUG -DNTHROW -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c inverse_gaussian.cpp -o inverse_gaussian.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DUSE_R -DNDEBUG -DNTHROW -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c polyagamma_wrapper.cpp -o polyagamma_wrapper.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DUSE_R -DNDEBUG -DNTHROW -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c truncated_gamma.cpp -o truncated_gamma.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DUSE_R -DNDEBUG -DNTHROW -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c truncated_norm.cpp -o truncated_norm.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o BayesLogit.so InvertY.o PolyaGamma.o PolyaGammaApproxAlt.o PolyaGammaApproxSP.o init.o inverse_gaussian.o polyagamma_wrapper.o truncated_gamma.o truncated_norm.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpy2R04D/R.INSTALL1f01633d141547/BayesLogit/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-BayesLogit/00new/BayesLogit/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BayesLogit) begin installing package ‘distill’ * installing *source* package ‘NMdata’ ... ** this is package ‘NMdata’ version ‘0.1.9’ ** package ‘NMdata’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (NMdata) begin installing package ‘rebib’ * installing *source* package ‘box.linters’ ... ** this is package ‘box.linters’ version ‘0.10.5’ ** package ‘box.linters’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ! The packages {treesitter} and {treesitter.r} are required by namespaced_function_calls(). Please install these packages if you want to use namespaced_function_calls(). They require R version >= 4.3.0. ! The packages {treesitter} and {treesitter.r} are required by namespaced_function_calls(). Please install these packages if you want to use namespaced_function_calls(). They require R version >= 4.3.0. ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (box.linters) begin installing package ‘exifr’ * installing *source* package ‘tidyvpc’ ... ** this is package ‘tidyvpc’ version ‘1.5.2’ ** package ‘tidyvpc’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tidyvpc) begin installing package ‘link2GI’ * installing *source* package ‘xpose’ ... ** this is package ‘xpose’ version ‘0.4.19’ ** package ‘xpose’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xpose) begin installing package ‘gMCP’ * installing *source* package ‘gpg’ ... ** this is package ‘gpg’ version ‘1.3.0’ ** package ‘gpg’ successfully unpacked and MD5 sums checked ** using staged installation Using PKG_CFLAGS= Using PKG_LIBS=-lgpgme ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpS9ppoU/R.INSTALL1f094e7ea8a31d/gpg/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c encrypt.c -o encrypt.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c engine.c -o engine.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c keys.c -o keys.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c keysig.c -o keysig.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c options.c -o options.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c register.c -o register.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sign.c -o sign.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o gpg.so encrypt.o engine.o keys.o keysig.o options.o register.o sign.o -lgpgme -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpS9ppoU/R.INSTALL1f094e7ea8a31d/gpg/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-gpg/00new/gpg/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gpg) begin installing package ‘foghorn’ * installing *source* package ‘codemetar’ ... ** this is package ‘codemetar’ version ‘0.3.5’ ** package ‘codemetar’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (codemetar) begin installing package ‘rhino’ * installing *source* package ‘n1qn1’ ... ** this is package ‘n1qn1’ version ‘6.0.1-12’ ** package ‘n1qn1’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpL60dmj/R.INSTALL1ef76d2dbf3172/n1qn1/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ajour.c -o ajour.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c calmaj.c -o calmaj.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c n1qn1_all.c -o n1qn1_all.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c proj.c -o proj.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c satur.c -o satur.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExpMod.cpp -o RcppExpMod.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o n1qn1.so ajour.o calmaj.o init.o n1qn1_all.o proj.o satur.o RcppExpMod.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpL60dmj/R.INSTALL1ef76d2dbf3172/n1qn1/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-n1qn1/00new/n1qn1/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (n1qn1) begin installing package ‘nonlinearTseries’ * installing *source* package ‘rebib’ ... ** this is package ‘rebib’ version ‘0.5.0’ ** package ‘rebib’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rebib) begin installing package ‘rmdfiltr’ * installing *source* package ‘FSA’ ... ** this is package ‘FSA’ version ‘0.9.6’ ** package ‘FSA’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (FSA) begin installing package ‘clinUtils’ * installing *source* package ‘litedown’ ... ** this is package ‘litedown’ version ‘0.5’ ** package ‘litedown’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (litedown) begin installing package ‘JuliaCall’ * installing *source* package ‘exifr’ ... ** this is package ‘exifr’ version ‘0.3.2’ ** package ‘exifr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (exifr) begin installing package ‘katex’ * installing *source* package ‘rmdfiltr’ ... ** this is package ‘rmdfiltr’ version ‘0.1.5’ ** package ‘rmdfiltr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rmdfiltr) begin installing package ‘coveffectsplot’ * installing *source* package ‘relations’ ... ** this is package ‘relations’ version ‘0.6-15’ ** package ‘relations’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (relations) begin installing package ‘revealjs’ * installing *source* package ‘vcdExtra’ ... ** this is package ‘vcdExtra’ version ‘0.8-5’ ** package ‘vcdExtra’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vcdExtra) begin installing package ‘officedown’ * installing *source* package ‘rhino’ ... ** this is package ‘rhino’ version ‘1.10.1’ ** package ‘rhino’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rhino) begin installing package ‘cffr’ * installing *source* package ‘katex’ ... ** this is package ‘katex’ version ‘1.5.0’ ** package ‘katex’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (katex) begin installing package ‘cleanrmd’ * installing *source* package ‘treesitter’ ... ** this is package ‘treesitter’ version ‘0.1.0’ ** package ‘treesitter’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpP7go9m/R.INSTALL1ef7b373b6d506/treesitter/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I./tree-sitter/lib/include -I./tree-sitter/lib/src -I./rlang -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tree-sitter/lib/src/lib.c -o tree-sitter/lib/src/lib.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I./tree-sitter/lib/include -I./tree-sitter/lib/src -I./rlang -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c alloc.c -o alloc.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I./tree-sitter/lib/include -I./tree-sitter/lib/src -I./rlang -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dyn.c -o dyn.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I./tree-sitter/lib/include -I./tree-sitter/lib/src -I./rlang -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c external-pointer.c -o external-pointer.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I./tree-sitter/lib/include -I./tree-sitter/lib/src -I./rlang -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I./tree-sitter/lib/include -I./tree-sitter/lib/src -I./rlang -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c language.c -o language.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I./tree-sitter/lib/include -I./tree-sitter/lib/src -I./rlang -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c node.c -o node.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I./tree-sitter/lib/include -I./tree-sitter/lib/src -I./rlang -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c parser.c -o parser.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I./tree-sitter/lib/include -I./tree-sitter/lib/src -I./rlang -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c query-matches.c -o query-matches.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I./tree-sitter/lib/include -I./tree-sitter/lib/src -I./rlang -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c query.c -o query.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I./tree-sitter/lib/include -I./tree-sitter/lib/src -I./rlang -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rlang.c -o rlang.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I./tree-sitter/lib/include -I./tree-sitter/lib/src -I./rlang -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tree-cursor.c -o tree-cursor.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I./tree-sitter/lib/include -I./tree-sitter/lib/src -I./rlang -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tree.c -o tree.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I./tree-sitter/lib/include -I./tree-sitter/lib/src -I./rlang -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o treesitter.so tree-sitter/lib/src/lib.o alloc.o dyn.o external-pointer.o init.o language.o node.o parser.o query-matches.o query.o rlang.o tree-cursor.o tree.o utils.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpP7go9m/R.INSTALL1ef7b373b6d506/treesitter/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-treesitter/00new/treesitter/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (treesitter) begin installing package ‘collapsibleTree’ * installing *source* package ‘foghorn’ ... ** this is package ‘foghorn’ version ‘1.6.0’ ** package ‘foghorn’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (foghorn) begin installing package ‘R3port’ * installing *source* package ‘plumber’ ... ** this is package ‘plumber’ version ‘1.3.0’ ** package ‘plumber’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (plumber) begin installing package ‘rcompanion’ * installing *source* package ‘revealjs’ ... ** this is package ‘revealjs’ version ‘0.9’ ** package ‘revealjs’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (revealjs) begin installing package ‘prereg’ * installing *source* package ‘distill’ ... ** this is package ‘distill’ version ‘1.6’ ** package ‘distill’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (distill) begin installing package ‘exams’ * installing *source* package ‘cleanrmd’ ... ** this is package ‘cleanrmd’ version ‘0.1.1’ ** package ‘cleanrmd’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cleanrmd) begin installing package ‘automagic’ * installing *source* package ‘campsismod’ ... ** this is package ‘campsismod’ version ‘1.2.0’ ** package ‘campsismod’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (campsismod) begin installing package ‘rUM’ * installing *source* package ‘rhub’ ... ** this is package ‘rhub’ version ‘2.0.0’ ** package ‘rhub’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading R6Class : finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rhub) begin installing package ‘findR’ * installing *source* package ‘prereg’ ... ** this is package ‘prereg’ version ‘0.6.0’ ** package ‘prereg’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (prereg) begin installing package ‘tracee’ * installing *source* package ‘automagic’ ... ** this is package ‘automagic’ version ‘0.5.1’ ** package ‘automagic’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (automagic) begin installing package ‘nlmixr2est’ * installing *source* package ‘officedown’ ... ** this is package ‘officedown’ version ‘0.3.3’ ** package ‘officedown’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (officedown) begin installing package ‘papaja’ * installing *source* package ‘coveffectsplot’ ... ** this is package ‘coveffectsplot’ version ‘1.0.6’ ** package ‘coveffectsplot’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (coveffectsplot) begin installing package ‘rjtools’ * installing *source* package ‘collapsibleTree’ ... ** this is package ‘collapsibleTree’ version ‘0.1.8’ ** package ‘collapsibleTree’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (collapsibleTree) * installing *source* package ‘findR’ ... ** this is package ‘findR’ version ‘0.2.1’ ** package ‘findR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (findR) * installing *source* package ‘clinUtils’ ... ** this is package ‘clinUtils’ version ‘0.2.0’ ** package ‘clinUtils’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (clinUtils) begin installing package ‘inTextSummaryTable’ begin installing package ‘patientProfilesVis’ * installing *source* package ‘cffr’ ... ** this is package ‘cffr’ version ‘1.2.0’ ** package ‘cffr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cffr) * installing *source* package ‘R3port’ ... ** this is package ‘R3port’ version ‘0.2.5’ ** package ‘R3port’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (R3port) * installing *source* package ‘link2GI’ ... ** this is package ‘link2GI’ version ‘0.6-2’ ** package ‘link2GI’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (link2GI) * installing *source* package ‘cld2’ ... ** this is package ‘cld2’ version ‘1.2.5’ ** package ‘cld2’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpxgeO3h/R.INSTALL1ef7a52ffe0251/cld2/src' rm -f cld2.so RcppExports.o wrapper.o libcld2/internal/cldutil.o libcld2/internal/cldutil_shared.o libcld2/internal/compact_lang_det.o libcld2/internal/compact_lang_det_hint_code.o libcld2/internal/compact_lang_det_impl.o libcld2/internal/debug.o libcld2/internal/fixunicodevalue.o libcld2/internal/generated_entities.o libcld2/internal/generated_language.o libcld2/internal/generated_ulscript.o libcld2/internal/getonescriptspan.o libcld2/internal/lang_script.o libcld2/internal/offsetmap.o libcld2/internal/scoreonescriptspan.o libcld2/internal/tote.o libcld2/internal/utf8statetable.o libcld2/internal/cld_generated_cjk_uni_prop_80.o libcld2/internal/cld2_generated_cjk_compatible.o libcld2/internal/cld_generated_cjk_delta_bi_4.o libcld2/internal/generated_distinct_bi_0.o libcld2/internal/cld2_generated_quadchrome_2.o libcld2/internal/cld2_generated_deltaoctachrome.o libcld2/internal/cld2_generated_distinctoctachrome.o libcld2/internal/cld_generated_score_quad_octa_2.o libcld2/libstatcld2.a g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c wrapper.cpp -o wrapper.o wrapper.cpp: In function ‘Rcpp::CharacterVector detect_language_cc(Rcpp::CharacterVector, bool, bool)’: wrapper.cpp:12:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 12 | for(size_t i = 0; i < input.length(); i++){ | ~~^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/cldutil.cc -o libcld2/internal/cldutil.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/cldutil_shared.cc -o libcld2/internal/cldutil_shared.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/compact_lang_det.cc -o libcld2/internal/compact_lang_det.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/compact_lang_det_hint_code.cc -o libcld2/internal/compact_lang_det_hint_code.o libcld2/internal/compact_lang_det_hint_code.cc: In function ‘std::string CLD2::TrimCLDLangTagsHint(const std::string&)’: libcld2/internal/compact_lang_det_hint_code.cc:1060:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1060 | if (comma == string::npos) {comma = langtags.size();} // fake trailing comma | ~~~~~~^~~~~~~~~~~~~~~ libcld2/internal/compact_lang_det_hint_code.cc: In function ‘void CLD2::SetCLDLangTagsHint(const std::string&, CLDLangPriors*)’: libcld2/internal/compact_lang_det_hint_code.cc:1403:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1403 | if (comma == string::npos) {comma = langtags.size();} // fake trailing comma | ~~~~~~^~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/compact_lang_det_impl.cc -o libcld2/internal/compact_lang_det_impl.o libcld2/internal/compact_lang_det_impl.cc: In function ‘void CLD2::CalcSummaryLang(DocTote*, int, const int*, const Language*, const int*, Language*, bool*, bool, bool, int)’: libcld2/internal/compact_lang_det_impl.cc:1455:7: warning: unused variable ‘plang_second’ [-Wunused-variable] 1455 | int plang_second = PerScriptNumber(ULScript_Latin, language3[active_slot[1]]); | ^~~~~~~~~~~~ libcld2/internal/compact_lang_det_impl.cc: In function ‘CLD2::Language CLD2::DetectLanguageSummaryV2(const char*, int, bool, const CLDHints*, bool, int, Language, Language*, int*, double*, ResultChunkVector*, int*, bool*)’: libcld2/internal/compact_lang_det_impl.cc:1849:14: warning: unused variable ‘ulscript’ [-Wunused-variable] 1849 | ULScript ulscript = scriptspan.ulscript; | ^~~~~~~~ libcld2/internal/compact_lang_det_impl.cc:1788:7: warning: unused variable ‘next_other_tote’ [-Wunused-variable] 1788 | int next_other_tote = 2; | ^~~~~~~~~~~~~~~ libcld2/internal/compact_lang_det_impl.cc:1789:7: warning: unused variable ‘tote_num’ [-Wunused-variable] 1789 | int tote_num = 0; | ^~~~~~~~ libcld2/internal/compact_lang_det_impl.cc:1793:8: warning: unused variable ‘tote_seen’ [-Wunused-variable] 1793 | bool tote_seen[4] = {false, false, false, false}; | ^~~~~~~~~ libcld2/internal/compact_lang_det_impl.cc:1794:7: warning: unused variable ‘tote_grams’ [-Wunused-variable] 1794 | int tote_grams[4] = {0, 0, 0, 0}; // Number in partial chunk | ^~~~~~~~~~ libcld2/internal/compact_lang_det_impl.cc:1795:12: warning: unused variable ‘tote_script’ [-Wunused-variable] 1795 | ULScript tote_script[4] = | ^~~~~~~~~~~ libcld2/internal/compact_lang_det_impl.cc:1814:7: warning: unused variable ‘advance_by’ [-Wunused-variable] 1814 | int advance_by = 2; // Advance 2 bytes | ^~~~~~~~~~ libcld2/internal/compact_lang_det_impl.cc:1815:7: warning: unused variable ‘advance_limit’ [-Wunused-variable] 1815 | int advance_limit = textlimit >> 3; // For first 1/8 of max document | ^~~~~~~~~~~~~ libcld2/internal/compact_lang_det_impl.cc:1817:7: warning: variable ‘initial_word_span’ set but not used [-Wunused-but-set-variable] 1817 | int initial_word_span = kDefaultWordSpan; | ^~~~~~~~~~~~~~~~~ libcld2/internal/compact_lang_det_impl.cc:1828:7: warning: unused variable ‘chunksizeunis’ [-Wunused-variable] 1828 | int chunksizeunis = (chunksizequads * 5) >> 1; | ^~~~~~~~~~~~~ libcld2/internal/compact_lang_det_impl.cc:1832:7: warning: unused variable ‘spantooshortlimit’ [-Wunused-variable] 1832 | int spantooshortlimit = kShortSpanThresh; | ^~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/debug.cc -o libcld2/internal/debug.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/fixunicodevalue.cc -o libcld2/internal/fixunicodevalue.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/generated_entities.cc -o libcld2/internal/generated_entities.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/generated_language.cc -o libcld2/internal/generated_language.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/generated_ulscript.cc -o libcld2/internal/generated_ulscript.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/getonescriptspan.cc -o libcld2/internal/getonescriptspan.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/lang_script.cc -o libcld2/internal/lang_script.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/offsetmap.cc -o libcld2/internal/offsetmap.o libcld2/internal/offsetmap.cc: In member function ‘void CLD2::OffsetMap::Printmap(const char*)’: libcld2/internal/offsetmap.cc:84:43: warning: array subscript has type ‘char’ [-Wchar-subscripts] 84 | fprintf(fout, "%c%02d ", "&=+-"[OpPart(diffs_[i])], LenPart(diffs_[i])); | ~~~~~~^~~~~~~~~~~ libcld2/internal/offsetmap.cc: In member function ‘void CLD2::OffsetMap::DumpString()’: libcld2/internal/offsetmap.cc:210:45: warning: array subscript has type ‘char’ [-Wchar-subscripts] 210 | fprintf(stderr, "%c%02d ", "&=+-"[OpPart(diffs_[i])], LenPart(diffs_[i])); | ~~~~~~^~~~~~~~~~~ libcld2/internal/offsetmap.cc: In member function ‘bool CLD2::OffsetMap::MoveLeft()’: libcld2/internal/offsetmap.cc:404:8: warning: variable ‘retval’ set but not used [-Wunused-but-set-variable] 404 | bool retval = true; | ^~~~~~ libcld2/internal/offsetmap.cc: In static member function ‘static bool CLD2::OffsetMap::CopyInserts(CLD2::OffsetMap*, CLD2::OffsetMap*)’: libcld2/internal/offsetmap.cc:484:40: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 484 | while (ok && (source->next_diff_sub_ != source->diffs_.size())) { | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ libcld2/internal/offsetmap.cc: In static member function ‘static bool CLD2::OffsetMap::CopyDeletes(CLD2::OffsetMap*, CLD2::OffsetMap*)’: libcld2/internal/offsetmap.cc:498:40: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 498 | while (ok && (source->next_diff_sub_ != source->diffs_.size())) { | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/scoreonescriptspan.cc -o libcld2/internal/scoreonescriptspan.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/tote.cc -o libcld2/internal/tote.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/utf8statetable.cc -o libcld2/internal/utf8statetable.o libcld2/internal/utf8statetable.cc: In function ‘int CLD2::UTF8GenericReplaceInternalTwoByte(const UTF8ReplaceObj_2*, const StringPiece&, StringPiece&, bool, int*, int*, int*, OffsetMap*)’: libcld2/internal/utf8statetable.cc:905:7: warning: variable ‘src_lll’ set but not used [-Wunused-but-set-variable] 905 | int src_lll = srclimit - src; | ^~~~~~~ libcld2/internal/utf8statetable.cc:906:7: warning: variable ‘dst_lll’ set but not used [-Wunused-but-set-variable] 906 | int dst_lll = dstlimit - dst; | ^~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/cld_generated_cjk_uni_prop_80.cc -o libcld2/internal/cld_generated_cjk_uni_prop_80.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/cld2_generated_cjk_compatible.cc -o libcld2/internal/cld2_generated_cjk_compatible.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/cld_generated_cjk_delta_bi_4.cc -o libcld2/internal/cld_generated_cjk_delta_bi_4.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/generated_distinct_bi_0.cc -o libcld2/internal/generated_distinct_bi_0.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/cld2_generated_quadchrome_2.cc -o libcld2/internal/cld2_generated_quadchrome_2.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/cld2_generated_deltaoctachrome.cc -o libcld2/internal/cld2_generated_deltaoctachrome.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/cld2_generated_distinctoctachrome.cc -o libcld2/internal/cld2_generated_distinctoctachrome.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld2/internal/cld_generated_score_quad_octa_2.cc -o libcld2/internal/cld_generated_score_quad_octa_2.o ar rcs libcld2/libstatcld2.a libcld2/internal/cldutil.o libcld2/internal/cldutil_shared.o libcld2/internal/compact_lang_det.o libcld2/internal/compact_lang_det_hint_code.o libcld2/internal/compact_lang_det_impl.o libcld2/internal/debug.o libcld2/internal/fixunicodevalue.o libcld2/internal/generated_entities.o libcld2/internal/generated_language.o libcld2/internal/generated_ulscript.o libcld2/internal/getonescriptspan.o libcld2/internal/lang_script.o libcld2/internal/offsetmap.o libcld2/internal/scoreonescriptspan.o libcld2/internal/tote.o libcld2/internal/utf8statetable.o libcld2/internal/cld_generated_cjk_uni_prop_80.o libcld2/internal/cld2_generated_cjk_compatible.o libcld2/internal/cld_generated_cjk_delta_bi_4.o libcld2/internal/generated_distinct_bi_0.o libcld2/internal/cld2_generated_quadchrome_2.o libcld2/internal/cld2_generated_deltaoctachrome.o libcld2/internal/cld2_generated_distinctoctachrome.o libcld2/internal/cld_generated_score_quad_octa_2.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o cld2.so RcppExports.o wrapper.o -Llibcld2 -lstatcld2 -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpxgeO3h/R.INSTALL1ef7a52ffe0251/cld2/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-cld2/00new/cld2/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cld2) * installing *source* package ‘JuliaCall’ ... ** this is package ‘JuliaCall’ version ‘0.17.6’ ** package ‘JuliaCall’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpMU5UfQ/R.INSTALL1f0f9b53f88a85/JuliaCall/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c JuliaCall.cpp -o JuliaCall.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libjulia.cpp -o libjulia.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o JuliaCall.so JuliaCall.o RcppExports.o libjulia.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpMU5UfQ/R.INSTALL1f0f9b53f88a85/JuliaCall/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-JuliaCall/00new/JuliaCall/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (JuliaCall) * installing *source* package ‘tracee’ ... ** this is package ‘tracee’ version ‘0.0.4’ ** package ‘tracee’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tracee) * installing *source* package ‘Microsoft365R’ ... ** this is package ‘Microsoft365R’ version ‘2.4.0’ ** package ‘Microsoft365R’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Microsoft365R) * installing *source* package ‘rjtools’ ... ** this is package ‘rjtools’ version ‘1.0.18’ ** package ‘rjtools’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rjtools) * installing *source* package ‘maftools’ ... ** this is package ‘maftools’ version ‘2.23.0’ ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpQvwSb8/R.INSTALL1f02db1217933/maftools/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -D_FILE_OFFSET_BITS=64 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ntcounts.c -o ntcounts.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -D_FILE_OFFSET_BITS=64 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c snpcounts.c -o snpcounts.o snpcounts.c: In function ‘snpcounts’: snpcounts.c:89:47: warning: format ‘%llu’ expects argument of type ‘long long unsigned int’, but argument 3 has type ‘uint64_t’ {aka ‘long unsigned int’} [-Wformat=] 89 | fprintf(tsv_fp, "#idxstats_mapped_reads\t%llu\n", tot_mapped); | ~~~^ ~~~~~~~~~~ | | | | | uint64_t {aka long unsigned int} | long long unsigned int | %lu gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -D_FILE_OFFSET_BITS=64 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/zlibbioc/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c somaticfreq.c -o somaticfreq.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o maftools.so ntcounts.o snpcounts.o somaticfreq.o /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rhtslib/usrlib/libhts.a -lcurl -lbz2 -llzma -lz -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpQvwSb8/R.INSTALL1f02db1217933/maftools/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-maftools/00new/maftools/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (maftools) * installing *source* package ‘papaja’ ... ** this is package ‘papaja’ version ‘0.1.3’ ** package ‘papaja’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (papaja) * installing *source* package ‘gMCP’ ... ** this is package ‘gMCP’ version ‘0.8-17’ ** package ‘gMCP’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp4Ivj7P/R.INSTALL1f0d9a8e95b7a/gMCP/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gMCP.c -o gMCP.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gMCP_init.c -o gMCP_init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mcp.c -o mcp.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o gMCP.so gMCP.o gMCP_init.o mcp.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp4Ivj7P/R.INSTALL1f0d9a8e95b7a/gMCP/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-gMCP/00new/gMCP/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gMCP) * installing *source* package ‘spatialEco’ ... ** this is package ‘spatialEco’ version ‘2.0-2’ ** package ‘spatialEco’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spatialEco) * installing *source* package ‘patientProfilesVis’ ... ** this is package ‘patientProfilesVis’ version ‘2.0.9’ ** package ‘patientProfilesVis’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (patientProfilesVis) * installing *source* package ‘inTextSummaryTable’ ... ** this is package ‘inTextSummaryTable’ version ‘3.3.3’ ** package ‘inTextSummaryTable’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (inTextSummaryTable) * installing *source* package ‘rUM’ ... ** this is package ‘rUM’ version ‘2.0.0’ ** package ‘rUM’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rUM) * installing *source* package ‘yyjsonr’ ... ** this is package ‘yyjsonr’ version ‘0.1.20’ ** package ‘yyjsonr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp1QvjlJ/R.INSTALL1f0296188ccd7/yyjsonr/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R-yyjson-parse.c -o R-yyjson-parse.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R-yyjson-serialize.c -o R-yyjson-serialize.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c geojson-parse.c -o geojson-parse.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c geojson-serialize.c -o geojson-serialize.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ndjson-parse.c -o ndjson-parse.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ndjson-serialize.c -o ndjson-serialize.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c yyjson.c -o yyjson.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o yyjsonr.so R-yyjson-parse.o R-yyjson-serialize.o geojson-parse.o geojson-serialize.o init.o ndjson-parse.o ndjson-serialize.o utils.o yyjson.o -lz -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp1QvjlJ/R.INSTALL1f0296188ccd7/yyjsonr/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-yyjsonr/00new/yyjsonr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (yyjsonr) * installing *source* package ‘exams’ ... ** this is package ‘exams’ version ‘2.4-1’ ** package ‘exams’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (exams) * installing *source* package ‘rcompanion’ ... ** this is package ‘rcompanion’ version ‘2.5.0’ ** package ‘rcompanion’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rcompanion) * installing *source* package ‘targets’ ... ** this is package ‘targets’ version ‘1.10.1’ ** package ‘targets’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (targets) begin installing package ‘tarchetypes’ * installing *source* package ‘cld3’ ... ** this is package ‘cld3’ version ‘1.6.1’ ** package ‘cld3’ successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS= Using PKG_LIBS=-lprotobuf Found C++17 compiler: g++-14 -std=gnu++17 -g -O2 -Wall -pedantic -mtune=native Using libprotoc 3.21.12 from /usr/bin/protoc protoc version libprotoc 3.21.12 matches libproto version 3.21.12 ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpCJBVqY/R.INSTALL1ef7b72aede7df/cld3/src' rm -f cld3.so RcppExports.o wrapper.o libcld3/base.o libcld3/embedding_feature_extractor.o libcld3/embedding_network.o libcld3/feature_extractor.o libcld3/feature_types.o libcld3/fml_parser.o libcld3/language_identifier_features.o libcld3/lang_id_nn_params.o libcld3/nnet_language_identifier.o libcld3/registry.o libcld3/relevant_script_feature.o libcld3/sentence_features.o libcld3/script_span/fixunicodevalue.o libcld3/script_span/generated_entities.o libcld3/script_span/generated_ulscript.o libcld3/script_span/getonescriptspan.o libcld3/script_span/offsetmap.o libcld3/script_span/text_processing.o libcld3/script_span/utf8statetable.o libcld3/task_context.o libcld3/task_context_params.o libcld3/unicodetext.o libcld3/utils.o libcld3/workspace.o cld_3/protos/feature_extractor.pb.o cld_3/protos/sentence.pb.o cld_3/protos/task_spec.pb.o libcld3/libstatcld3.a g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c wrapper.cpp -o wrapper.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/base.cc -o libcld3/base.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/embedding_feature_extractor.cc -o libcld3/embedding_feature_extractor.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/embedding_network.cc -o libcld3/embedding_network.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/feature_extractor.cc -o libcld3/feature_extractor.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/feature_types.cc -o libcld3/feature_types.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/fml_parser.cc -o libcld3/fml_parser.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/language_identifier_features.cc -o libcld3/language_identifier_features.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/lang_id_nn_params.cc -o libcld3/lang_id_nn_params.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/nnet_language_identifier.cc -o libcld3/nnet_language_identifier.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/registry.cc -o libcld3/registry.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/relevant_script_feature.cc -o libcld3/relevant_script_feature.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/sentence_features.cc -o libcld3/sentence_features.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/script_span/fixunicodevalue.cc -o libcld3/script_span/fixunicodevalue.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/script_span/generated_entities.cc -o libcld3/script_span/generated_entities.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/script_span/generated_ulscript.cc -o libcld3/script_span/generated_ulscript.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/script_span/getonescriptspan.cc -o libcld3/script_span/getonescriptspan.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/script_span/offsetmap.cc -o libcld3/script_span/offsetmap.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/script_span/text_processing.cc -o libcld3/script_span/text_processing.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/script_span/utf8statetable.cc -o libcld3/script_span/utf8statetable.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/task_context.cc -o libcld3/task_context.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/task_context_params.cc -o libcld3/task_context_params.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/unicodetext.cc -o libcld3/unicodetext.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/utils.cc -o libcld3/utils.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c libcld3/workspace.cc -o libcld3/workspace.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cld_3/protos/feature_extractor.pb.cc -o cld_3/protos/feature_extractor.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cld_3/protos/sentence.pb.cc -o cld_3/protos/sentence.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cld_3/protos/task_spec.pb.cc -o cld_3/protos/task_spec.pb.o ar rcs libcld3/libstatcld3.a libcld3/base.o libcld3/embedding_feature_extractor.o libcld3/embedding_network.o libcld3/feature_extractor.o libcld3/feature_types.o libcld3/fml_parser.o libcld3/language_identifier_features.o libcld3/lang_id_nn_params.o libcld3/nnet_language_identifier.o libcld3/registry.o libcld3/relevant_script_feature.o libcld3/sentence_features.o libcld3/script_span/fixunicodevalue.o libcld3/script_span/generated_entities.o libcld3/script_span/generated_ulscript.o libcld3/script_span/getonescriptspan.o libcld3/script_span/offsetmap.o libcld3/script_span/text_processing.o libcld3/script_span/utf8statetable.o libcld3/task_context.o libcld3/task_context_params.o libcld3/unicodetext.o libcld3/utils.o libcld3/workspace.o cld_3/protos/feature_extractor.pb.o cld_3/protos/sentence.pb.o cld_3/protos/task_spec.pb.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o cld3.so RcppExports.o wrapper.o -Llibcld3 -lstatcld3 -lprotobuf -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpCJBVqY/R.INSTALL1ef7b72aede7df/cld3/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-cld3/00new/cld3/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cld3) * installing *source* package ‘tarchetypes’ ... ** this is package ‘tarchetypes’ version ‘0.12.0’ ** package ‘tarchetypes’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tarchetypes) * installing *source* package ‘jinjar’ ... ** this is package ‘jinjar’ version ‘0.3.1’ ** package ‘jinjar’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpYuwbgL/R.INSTALL1ef7b566fe8cda/jinjar/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I./inja -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c condition.cpp -o condition.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I./inja -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cpp11.cpp -o cpp11.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I./inja -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c loader.cpp -o loader.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I./inja -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c render.cpp -o render.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I./inja -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c template.cpp -o template.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o jinjar.so condition.o cpp11.o loader.o render.o template.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpYuwbgL/R.INSTALL1ef7b566fe8cda/jinjar/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-jinjar/00new/jinjar/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (jinjar) * installing *source* package ‘nonlinearTseries’ ... ** this is package ‘nonlinearTseries’ version ‘0.3.1’ ** package ‘nonlinearTseries’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpOKEd9o/R.INSTALL1f0e5e2d6f9794/nonlinearTseries/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ANN.cpp -o ANN.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DFA.cpp -o DFA.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c NN.cpp -o NN.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c bd_fix_rad_search.cpp -o bd_fix_rad_search.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c bd_pr_search.cpp -o bd_pr_search.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c bd_search.cpp -o bd_search.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c bd_tree.cpp -o bd_tree.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c brute.cpp -o brute.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c corr_dim.cpp -o corr_dim.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c generic_functions.cpp -o generic_functions.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c information_dimension.cpp -o information_dimension.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c kd_dump.cpp -o kd_dump.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c kd_fix_rad_search.cpp -o kd_fix_rad_search.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c kd_pr_search.cpp -o kd_pr_search.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c kd_search.cpp -o kd_search.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c kd_split.cpp -o kd_split.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c kd_tree.cpp -o kd_tree.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c kd_util.cpp -o kd_util.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c lyapunov_exponent.cpp -o lyapunov_exponent.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mutual_information.cpp -o mutual_information.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c neighbour_search.cpp -o neighbour_search.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c neighbour_search_wrapper.cpp -o neighbour_search_wrapper.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nonlinear_noise_reduction.cpp -o nonlinear_noise_reduction.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c poincare_map.cpp -o poincare_map.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rqa.cpp -o rqa.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c space_time_plot.cpp -o space_time_plot.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -IANN -DRANN -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cpp -o utils.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o nonlinearTseries.so ANN.o DFA.o NN.o RcppExports.o bd_fix_rad_search.o bd_pr_search.o bd_search.o bd_tree.o brute.o corr_dim.o generic_functions.o information_dimension.o kd_dump.o kd_fix_rad_search.o kd_pr_search.o kd_search.o kd_split.o kd_tree.o kd_util.o lyapunov_exponent.o mutual_information.o neighbour_search.o neighbour_search_wrapper.o nonlinear_noise_reduction.o poincare_map.o rqa.o space_time_plot.o utils.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpOKEd9o/R.INSTALL1f0e5e2d6f9794/nonlinearTseries/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-nonlinearTseries/00new/nonlinearTseries/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nonlinearTseries) begin installing package ‘soundgen’ * installing *source* package ‘mrgsolve’ ... ** this is package ‘mrgsolve’ version ‘1.5.2’ ** package ‘mrgsolve’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp5jmDdg/R.INSTALL1f00ec1bcdafe/mrgsolve/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I../inst/base -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LSODA.cpp -o LSODA.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I../inst/base -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I../inst/base -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dataobject.cpp -o dataobject.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I../inst/base -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c datarecord.cpp -o datarecord.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I../inst/base -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c devtran.cpp -o devtran.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I../inst/base -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c housemodel-mread-source.cpp -o housemodel-mread-source.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I../inst/base -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mrgsolve.cpp -o mrgsolve.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_categories.hpp:16, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_adaptor.hpp:14, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/token_iterator.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/tokenizer.hpp:20, from mrgsolve.cpp:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I../inst/base -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mrgsolve_init.cpp -o mrgsolve_init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I../inst/base -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c odeproblem.cpp -o odeproblem.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o mrgsolve.so LSODA.o RcppExports.o dataobject.o datarecord.o devtran.o housemodel-mread-source.o mrgsolve.o mrgsolve_init.o odeproblem.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp5jmDdg/R.INSTALL1f00ec1bcdafe/mrgsolve/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-mrgsolve/00new/mrgsolve/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mrgsolve) * installing *source* package ‘soundgen’ ... ** this is package ‘soundgen’ version ‘2.7.2’ ** package ‘soundgen’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (soundgen) * installing *source* package ‘nlmixr2est’ ... ** this is package ‘nlmixr2est’ version ‘3.0.4’ ** package ‘nlmixr2est’ successfully unpacked and MD5 sums checked ** using staged installation --------[begin src/Makevars]-------- # -*- mode: makefile-gmake -*- ARMA=@ARMA@ BH=@BH@ RCPP=@RCPP@ RXP=@RXP@ CXX_STD = CXX17 PKG_LIBS = $(LAPACK_LIBS) $(BLAS_LIBS) $(FLIBS) $(SHLIB_OPENMP_CXXFLAGS) PKG_CXXFLAGS = -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"$(BH)" -I"$(RCPP)" -I"$(ARMA)" -I"$(RXP)" $(SHLIB_OPENMP_CXXFLAGS) -DARMA_64BIT_WORD=1 SHLIB_LDFLAGS = $(SHLIB_CXXLDFLAGS) SHLIB_LD = $(SHLIB_CXXLD) SOURCES_C = init.c rprintf.c merge3.c lbfgsR.c utilc.c SOURCES_CPP = uninformativeEtas.cpp nlm.cpp filterNormalLike.cpp inner.cpp shi21.cpp nearPD.cpp censEst.cpp saem.cpp expandNlme.cpp npde.cpp shrink.cpp ires.cpp res.cpp cwres.cpp censResid.cpp cholse.cpp neldermead.cpp resid.cpp slice.cpp RcppExportMod.cpp RcppExports.cpp OBJECTS = $(SOURCES_CPP:.cpp=.o) $(SOURCES_C:.c=.o) all: $(SHLIB) $(SHLIB): $(OBJECTS) --------[end src/Makevars]-------- ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-16) 14.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp7Y6HEn/R.INSTALL1f15772c6a5f4/nlmixr2est/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c uninformativeEtas.cpp -o uninformativeEtas.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from armahead.h:13, from uninformativeEtas.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c nlm.cpp -o nlm.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from armahead.h:13, from nlm.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ nlm.cpp: In function ‘arma::vec nlmSolveF(arma::vec&)’: nlm.cpp:399:7: warning: unused variable ‘cores’ [-Wunused-variable] 399 | int cores = getOpCores(op); | ^~~~~ nlm.cpp: In function ‘arma::mat nlmSolveGrad(arma::vec&)’: nlm.cpp:525:7: warning: unused variable ‘cores’ [-Wunused-variable] 525 | int cores = getOpCores(op); | ^~~~~ nlm.cpp: In function ‘Rcpp::NumericVector solveGradNls(arma::vec&, int)’: nlm.cpp:608:12: warning: unused variable ‘llik’ [-Wunused-variable] 608 | double llik; | ^~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c filterNormalLike.cpp -o filterNormalLike.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from armahead.h:13, from filterNormalLike.cpp:10: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c inner.cpp -o inner.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from armahead.h:13, from inner.cpp:5: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ inner.cpp: In function ‘void parHistData(Rcpp::Environment, bool)’: inner.cpp:37:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const long long unsigned int’} [-Wsign-compare] 37 | #define min2( a , b ) ( (a) < (b) ? (a) : (b) ) | ~~~~^~~~~ inner.cpp:5853:23: note: in expansion of macro ‘min2’ 5853 | for (i = 0; i < min2(op_focei.npars+1, vals.n_cols); i++){ | ^~~~ inner.cpp:5853:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long long unsigned int’ [-Wsign-compare] 5853 | for (i = 0; i < min2(op_focei.npars+1, vals.n_cols); i++){ | ^ inner.cpp: In function ‘Rcpp::List nlmixr2Gill83_(Rcpp::Function, Rcpp::NumericVector, Rcpp::Environment, Rcpp::LogicalVector, double, int, double, double, bool)’: inner.cpp:4327:13: warning: ‘gillF’ may be used uninitialized [-Wmaybe-uninitialized] 4327 | fN[i] = gillF; inner.cpp:4320:10: note: ‘gillF’ was declared here 4320 | double gillF; | ^~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c shi21.cpp -o shi21.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from armahead.h:13, from shi21.cpp:11: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c nearPD.cpp -o nearPD.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from armahead.h:13, from nearPD.cpp:5: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c censEst.cpp -o censEst.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c saem.cpp -o saem.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from saem.cpp:8: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c expandNlme.cpp -o expandNlme.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c npde.cpp -o npde.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from armahead.h:13, from npde.h:13, from npde.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ npde.cpp: In function ‘void handleCensNpdeCdf(calcNpdeInfoId&, arma::Col&, arma::vec&, int&, bool&, unsigned int, arma::vec&, arma::vec&, unsigned int&, bool&)’: npde.cpp:129:15: warning: variable ‘hi’ set but not used [-Wunused-but-set-variable] 129 | double low, hi, low2, hi2; | ^~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c shrink.cpp -o shrink.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from armahead.h:13, from shrink.h:5, from shrink.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c ires.cpp -o ires.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from armahead.h:13, from res.h:4, from ires.h:4, from ires.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c res.cpp -o res.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from armahead.h:13, from res.h:4, from res.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_categories.hpp:16, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:13, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/iterator_range_core.hpp:27, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/iterator_range.hpp:13, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/as_literal.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/trim.hpp:19, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string.hpp:19, from res.cpp:3: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/bind/mem_fn.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mem_fn.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/function/function_template.hpp:16, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/function.hpp:16, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/detail/find_iterator.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/find_iterator.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:27, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:16, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string.hpp:23: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/get_pointer.hpp:48:40: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ In file included from /usr/include/c++/14/memory:78, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include/armadillo:38, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo/interface/RcppArmadilloForward.h:58, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include/RcppArmadillo.h:29, from armahead.h:12: /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ res.cpp: In function ‘void calculateDfFull(arma::Col&, arma::mat&, Rcpp::List&, int&, unsigned int&)’: res.cpp:17:7: warning: unused variable ‘idSize’ [-Wunused-variable] 17 | int idSize = ID.size(); | ^~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cwres.cpp -o cwres.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from armahead.h:13, from res.h:4, from cwres.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c censResid.cpp -o censResid.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from armahead.h:13, from censResid.h:3, from censResid.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cholse.cpp -o cholse.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from armahead.h:13, from cholse.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c neldermead.cpp -o neldermead.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c resid.cpp -o resid.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2_RcppExports.h:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2.h:45, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include/rxode2ptr.h:4, from armahead.h:13, from resid.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c slice.cpp -o slice.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExportMod.cpp -o RcppExportMod.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Id -I../inst/include -DBOOST_DISABLE_ASSERTS -DBOOST_NO_CXX11_STATIC_ASSERT -I"@BH@" -I"@RCPP@" -I"@ARMA@" -I"@RXP@" -fopenmp -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from ../inst/include/nlmixr2est_RcppExports.h:8, from ../inst/include/nlmixr2est.h:7, from RcppExports.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rprintf.c -o rprintf.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c merge3.c -o merge3.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c lbfgsR.c -o lbfgsR.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/tmp/CRAN_recheck/Library/n1qn1/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lbfgsb3c/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/lotri/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rxode2/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utilc.c -o utilc.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o nlmixr2est.so uninformativeEtas.o nlm.o filterNormalLike.o inner.o shi21.o nearPD.o censEst.o saem.o expandNlme.o npde.o shrink.o ires.o res.o cwres.o censResid.o cholse.o neldermead.o resid.o slice.o RcppExportMod.o RcppExports.o init.o rprintf.o merge3.o lbfgsR.o utilc.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -fopenmp -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp7Y6HEn/R.INSTALL1f15772c6a5f4/nlmixr2est/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-nlmixr2est/00new/nlmixr2est/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nlmixr2est) begin installing package ‘nlmixr2extra’ begin installing package ‘xpose.nlmixr2’ * installing *source* package ‘xpose.nlmixr2’ ... ** this is package ‘xpose.nlmixr2’ version ‘0.4.0’ ** package ‘xpose.nlmixr2’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xpose.nlmixr2) * installing *source* package ‘nlmixr2extra’ ... ** this is package ‘nlmixr2extra’ version ‘3.0.2’ ** package ‘nlmixr2extra’ successfully unpacked and MD5 sums checked ** using staged installation R Under development (unstable) (2025-02-18 r87748) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. R> if (!dir.exists("data")) { + dir.create("data") + } R> R> .in <- suppressWarnings(readLines("src/Makevars.in")) R> if (.Platform$OS.type == "windows") { + .makevars <- file("src/Makevars.win", "wb") + .i <- "I" + } else { + .makevars <- file("src/Makevars", "wb") + if (any(grepl("Pop!_OS", utils::osVersion, fixed=TRUE))) { + .i <- "isystem" + } else { + .i <- "I" + } + } R> R> writeLines(gsub("@ISYSTEM@", .i, .in), + .makevars) R> close(.makevars) R> > proc.time() user system elapsed 0.131 0.030 0.151 --------[begin src/Makevars]-------- ## -*- mode: makefile; -*- PKG_CXXFLAGS = $(SHLIB_OPENMP_CXXFLAGS) -DARMA_USE_CXX11 PKG_LIBS = $(SHLIB_OPENMP_CXXFLAGS) $(LAPACK_LIBS) $(BLAS_LIBS) $(FLIBS) --------[end src/Makevars]-------- ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-16) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp2bRDRW/R.INSTALL1f516a6463849a/nlmixr2extra/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_USE_CXX11 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_USE_CXX11 -fpic -g -O2 -Wall -pedantic -mtune=native -c preCondInv.cpp -o preCondInv.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o nlmixr2extra.so RcppExports.o init.o preCondInv.o -fopenmp -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp2bRDRW/R.INSTALL1f516a6463849a/nlmixr2extra/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-nlmixr2extra/00new/nlmixr2extra/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nlmixr2extra) begin installing package ‘nlmixr2plot’ * installing *source* package ‘lrstat’ ... ** this is package ‘lrstat’ version ‘0.2.12’ ** package ‘lrstat’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpGOyOuA/R.INSTALL1f018432261e07/lrstat/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c basket.cpp -o basket.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c kmstat.cpp -o kmstat.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c logistic_regression.cpp -o logistic_regression.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c lrsim.cpp -o lrsim.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c lrstat.cpp -o lrstat.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c misc.cpp -o misc.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nbstat.cpp -o nbstat.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rmstat.cpp -o rmstat.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c survival_analysis.cpp -o survival_analysis.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utilities.cpp -o utilities.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o lrstat.so RcppExports.o basket.o kmstat.o logistic_regression.o lrsim.o lrstat.o misc.o nbstat.o rmstat.o survival_analysis.o utilities.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpGOyOuA/R.INSTALL1f018432261e07/lrstat/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-lrstat/00new/lrstat/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lrstat) * installing *source* package ‘nlmixr2plot’ ... ** this is package ‘nlmixr2plot’ version ‘3.0.1’ ** package ‘nlmixr2plot’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nlmixr2plot) begin installing package ‘nlmixr2’ * installing *source* package ‘nlmixr2’ ... ** this is package ‘nlmixr2’ version ‘3.0.1’ ** package ‘nlmixr2’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nlmixr2) * installing *source* package ‘rswipl’ ... ** this is package ‘rswipl’ version ‘9.3.18’ ** package ‘rswipl’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/src' mkdir -p ../build (cd ../build ; CC="gcc-14 -std=gnu23" CXX="g++-14 -std=gnu++17" CFLAGS="-g -O2 -Wall -mtune=native " CPPFLAGS="-I/usr/local/include" LDFLAGS="-Wl,-O1" CXXFLAGS="-g -O2 -Wall -pedantic -mtune=native -fpic" cmake -DCMAKE_CXX_STANDARD=17 -DCMAKE_INSTALL_PREFIX=../inst/swipl -DSWIPL_INSTALL_IN_LIB=ON -DINSTALL_DOCUMENTATION=OFF -DBUILD_TESTING=ON -DSWIPL_PACKAGES_JAVA=OFF -DSWIPL_PACKAGES_X=OFF -DSWIPL_PACKAGES_ODBC=OFF -DUSE_GMP=OFF -DSWIPL_PACKAGES_PYTHON=OFF -S ../src/swipl-devel) CMake Deprecation Warning at CMakeLists.txt:5 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. -- The C compiler identification is GNU 14.2.0 -- The CXX compiler identification is GNU 14.2.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/gcc-14 - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/g++-14 - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Setting build type to 'Release' as none was specified. -- Configuring SWI-Prolog-9.3.18 -- Check floating point format -- Check floating point format - IEEE-754, little endian -- The following SWI-Prolog packages are disabled because the required sources are not installed: mqi ltx2htm nlp paxos redis stomp PDT pengines pldoc protobufs RDF semweb sweep table bdb tipc swipl-win libedit readline Use one of the commands below to add all packages or specific packages git -C .. submodule update --init git -C .. submodule update --init packages/ -- Found ZLIB: /usr/lib/x86_64-linux-gnu/libz.so (found version "1.3.1") -- Found Curses: /usr/lib/x86_64-linux-gnu/libcurses.so -- Found PkgConfig: /usr/bin/pkg-config (found version "1.8.1") -- Could NOT find LibTCMalloc (missing: LIBTCMALLOC_LIBRARY) -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Checking for 64-bit off_t -- Checking for 64-bit off_t - present -- Checking for fseeko/ftello -- Checking for fseeko/ftello - present -- Large File support - found CMake Deprecation Warning at src/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. -- Could NOT find LibTCMalloc (missing: LIBTCMALLOC_LIBRARY) -- Looking for inttypes.h -- Looking for inttypes.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stdlib.h -- Looking for stdlib.h - found -- Looking for strings.h -- Looking for strings.h - found -- Looking for threads.h -- Looking for threads.h - found -- Looking for wchar.h -- Looking for wchar.h - found -- Looking for alloca.h -- Looking for alloca.h - found -- Looking for curses.h -- Looking for curses.h - found -- Looking for dirent.h -- Looking for dirent.h - found -- Looking for dl.h -- Looking for dl.h - not found -- Looking for dlfcn.h -- Looking for dlfcn.h - found -- Looking for dmalloc.h -- Looking for dmalloc.h - not found -- Looking for execinfo.h -- Looking for execinfo.h - found -- Looking for float.h -- Looking for float.h - found -- Looking for floatingpoint.h -- Looking for floatingpoint.h - not found -- Looking for ieeefp.h -- Looking for ieeefp.h - not found -- Looking for ieee754.h -- Looking for ieee754.h - found -- Looking for libloaderapi.h -- Looking for libloaderapi.h - not found -- Looking for limits.h -- Looking for limits.h - found -- Looking for locale.h -- Looking for locale.h - found -- Looking for malloc.h -- Looking for malloc.h - found -- Looking for memory.h -- Looking for memory.h - found -- Looking for ncurses/curses.h -- Looking for ncurses/curses.h - not found -- Looking for ncurses/term.h -- Looking for ncurses/term.h - not found -- Looking for poll.h -- Looking for poll.h - found -- Looking for pwd.h -- Looking for pwd.h - found -- Looking for shlobj.h -- Looking for shlobj.h - not found -- Looking for signal.h -- Looking for signal.h - found -- Looking for string.h -- Looking for string.h - found -- Looking for sys/dir.h -- Looking for sys/dir.h - found -- Looking for sys/file.h -- Looking for sys/file.h - found -- Looking for sys/mman.h -- Looking for sys/mman.h - found -- Looking for sys/ndir.h -- Looking for sys/ndir.h - not found -- Looking for sys/param.h -- Looking for sys/param.h - found -- Looking for sys/resource.h -- Looking for sys/resource.h - found -- Looking for sys/select.h -- Looking for sys/select.h - found -- Looking for sys/stat.h -- Looking for sys/stat.h - found -- Looking for sys/syscall.h -- Looking for sys/syscall.h - found -- Looking for sys/ioctl.h -- Looking for sys/ioctl.h - found -- Looking for sys/termio.h -- Looking for sys/termio.h - not found -- Looking for sys/termios.h -- Looking for sys/termios.h - found -- Looking for sys/time.h -- Looking for sys/time.h - found -- Looking for sys/types.h -- Looking for sys/types.h - found -- Looking for sys/wait.h -- Looking for sys/wait.h - found -- Looking for term.h -- Looking for term.h - found -- Looking for time.h -- Looking for time.h - found -- Looking for unistd.h -- Looking for unistd.h - found -- Looking for valgrind/valgrind.h -- Looking for valgrind/valgrind.h - found -- Looking for vfork.h -- Looking for vfork.h - not found -- Looking for mach/thread_act.h -- Looking for mach/thread_act.h - not found -- Looking for sys/stropts.h -- Looking for sys/stropts.h - not found -- Looking for zlib.h -- Looking for zlib.h - found -- Looking for crt_externs.h -- Looking for crt_externs.h - not found -- Looking for gperftools/malloc_extension_c.h -- Looking for gperftools/malloc_extension_c.h - not found -- Performing Test HAVE_GCC_ATOMIC -- Performing Test HAVE_GCC_ATOMIC - Success -- Performing Test HAVE_GCC_ATOMIC_8 -- Performing Test HAVE_GCC_ATOMIC_8 - Success -- Performing Test HAVE___BUILTIN_MUL_OVERFLOW -- Performing Test HAVE___BUILTIN_MUL_OVERFLOW - Success -- Looking for dlopen in dl -- Looking for dlopen in dl - found -- Looking for sin in m -- Looking for sin in m - found -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of int -- Check size of int - done -- Check size of long -- Check size of long - done -- Check size of void * -- Check size of void * - done -- Check size of long long -- Check size of long long - done -- Check size of wchar_t -- Check size of wchar_t - done -- Check size of wint_t -- Check size of wint_t - done -- Check size of off_t -- Check size of off_t - done -- Check size of __int128 -- Check size of __int128 - done -- Check size of z_crc_t -- Check size of z_crc_t - done -- Check alignment of INT64_T: -- Check alignment of DOUBLE: -- Check alignment of VOIDP: -- Looking for mmap -- Looking for mmap - found -- Looking for popen -- Looking for popen - found -- Looking for strerror -- Looking for strerror - found -- Looking for poll -- Looking for poll - found -- Looking for getpwnam -- Looking for getpwnam - found -- Looking for fork -- Looking for fork - found -- Looking for vfork -- Looking for vfork - found -- Looking for qsort_r -- Looking for qsort_r - found -- Looking for qsort_s -- Looking for qsort_s - not found -- Looking for getpagesize -- Looking for getpagesize - found -- Looking for access -- Looking for access - found -- Looking for chmod -- Looking for chmod - found -- Looking for fchmod -- Looking for fchmod - found -- Looking for fcntl -- Looking for fcntl - found -- Looking for fstat -- Looking for fstat - found -- Looking for ftruncate -- Looking for ftruncate - found -- Looking for getcwd -- Looking for getcwd - found -- Looking for getwd -- Looking for getwd - found -- Looking for opendir -- Looking for opendir - found -- Looking for readlink -- Looking for readlink - found -- Looking for remove -- Looking for remove - found -- Looking for rename -- Looking for rename - found -- Looking for stat -- Looking for stat - found -- Looking for fopen64 -- Looking for fopen64 - found -- Looking for memmove -- Looking for memmove - found -- Looking for strcasecmp -- Looking for strcasecmp - found -- Looking for stricmp -- Looking for stricmp - not found -- Looking for strlwr -- Looking for strlwr - not found -- Looking for setlocale -- Looking for setlocale - found -- Looking for mbsnrtowcs -- Looking for mbsnrtowcs - found -- Looking for mbcasescoll -- Looking for mbcasescoll - not found -- Looking for localeconv -- Looking for localeconv - found -- Looking for wcsdup -- Looking for wcsdup - found -- Looking for wcsxfrm -- Looking for wcsxfrm - found -- Looking for getuid -- Looking for getuid - found -- Looking for getpid -- Looking for getpid - found -- Looking for waitpid -- Looking for waitpid - found -- Looking for setenv -- Looking for setenv - found -- Looking for putenv -- Looking for putenv - found -- Looking for unsetenv -- Looking for unsetenv - found -- Looking for sysconf -- Looking for sysconf - found -- Looking for confstr -- Looking for confstr - found -- Looking for getrlimit -- Looking for getrlimit - found -- Looking for getrusage -- Looking for getrusage - found -- Looking for _NSGetEnviron -- Looking for _NSGetEnviron - not found -- Looking for mallinfo -- Looking for mallinfo - found -- Looking for mallinfo2 -- Looking for mallinfo2 - found -- Looking for shl_load -- Looking for shl_load - not found -- Looking for dlopen -- Looking for dlopen - found -- Looking for dladdr -- Looking for dladdr - found -- Looking for signal -- Looking for signal - found -- Looking for sigprocmask -- Looking for sigprocmask - found -- Looking for sigsetmask -- Looking for sigsetmask - found -- Looking for siggetmask -- Looking for siggetmask - found -- Looking for sigaction -- Looking for sigaction - found -- Looking for sigset -- Looking for sigset - found -- Looking for sigblock -- Looking for sigblock - found -- Looking for sigaltstack -- Looking for sigaltstack - found -- Looking for kill -- Looking for kill - found -- Looking for backtrace -- Looking for backtrace - found -- Looking for alarm -- Looking for alarm - found -- Looking for mtrace -- Looking for mtrace - found -- Looking for tgetent -- Looking for tgetent - found -- Looking for tcsetattr -- Looking for tcsetattr - found -- Looking for grantpt -- Looking for grantpt - found -- Looking for sgttyb -- Looking for sgttyb - not found -- Looking for cfmakeraw -- Looking for cfmakeraw - found -- Looking for ceil -- Looking for ceil - found -- Looking for floor -- Looking for floor - found -- Looking for srand -- Looking for srand - found -- Looking for srandom -- Looking for srandom - found -- Looking for random -- Looking for random - found -- Looking for rint -- Looking for rint - found -- Looking for fpclass -- Looking for fpclass - not found -- Looking for fpresetsticky -- Looking for fpresetsticky - not found -- Looking for fpsetmask -- Looking for fpsetmask - not found -- Looking for isnan -- Looking for isnan - found -- Looking for isinf -- Looking for isinf - found -- Looking for ftime -- Looking for ftime - found -- Looking for clock_gettime -- Looking for clock_gettime - found -- Looking for gettimeofday -- Looking for gettimeofday - found -- Looking for localtime_r -- Looking for localtime_r - found -- Looking for localtime_s -- Looking for localtime_s - not found -- Looking for ctime_r -- Looking for ctime_r - found -- Looking for asctime_r -- Looking for asctime_r - found -- Looking for nanosleep -- Looking for nanosleep - found -- Looking for sleep -- Looking for sleep - found -- Looking for usleep -- Looking for usleep - found -- Looking for select -- Looking for select - found -- Looking for clock -- Looking for clock - found -- Looking for times -- Looking for times - found -- Looking for delay -- Looking for delay - not found -- Looking for dossleep -- Looking for dossleep - not found -- Performing Test SYS_CPUSET_H_FOUND -- Performing Test SYS_CPUSET_H_FOUND - Failed -- Looking for pthread_np.h -- Looking for pthread_np.h - not found -- Looking for pthread_attr_setaffinity_np -- Looking for pthread_attr_setaffinity_np - found -- Looking for pthread_getname_np -- Looking for pthread_getname_np - found -- Looking for pthread_getw32threadhandle_np -- Looking for pthread_getw32threadhandle_np - not found -- Looking for pthread_kill -- Looking for pthread_kill - found -- Looking for pthread_mutexattr_setkind_np -- Looking for pthread_mutexattr_setkind_np - not found -- Looking for pthread_mutexattr_settype -- Looking for pthread_mutexattr_settype - found -- Looking for pthread_mutex_timedlock -- Looking for pthread_mutex_timedlock - found -- Looking for pthread_setconcurrency -- Looking for pthread_setconcurrency - found -- Looking for pthread_setname_np -- Looking for pthread_setname_np - found -- Looking for pthread_sigmask -- Looking for pthread_sigmask - found -- Looking for pthread_timedjoin_np -- Looking for pthread_timedjoin_np - found -- Looking for pthread_getcpuclockid -- Looking for pthread_getcpuclockid - found -- Looking for pthread_attr_setstacksize -- Looking for pthread_attr_setstacksize - found -- Looking for pthread_getattr_np -- Looking for pthread_getattr_np - found -- Looking for sched_setaffinity -- Looking for sched_setaffinity - found -- Looking for sched_yield -- Looking for sched_yield - found -- Looking for sema_init -- Looking for sema_init - not found -- Looking for sem_init -- Looking for sem_init - found -- Looking for sem_timedwait -- Looking for sem_timedwait - found -- Looking for setitimer -- Looking for setitimer - found -- Checking for recursive mutex support -- Performing Test HAVE_PTHREAD_MUTEX_RECURSIVE -- Performing Test HAVE_PTHREAD_MUTEX_RECURSIVE - Success -- Checking for recursive mutex support -- found -- Performing Test HAVE_PTHREAD_SETNAME_NP_WITH_TID -- Performing Test HAVE_PTHREAD_SETNAME_NP_WITH_TID - Success -- Performing Test HAVE_PTHREAD_SETNAME_NP_WITH_TID_AND_ARG -- Performing Test HAVE_PTHREAD_SETNAME_NP_WITH_TID_AND_ARG - Failed -- Performing Test HAVE_GETTID_FUNCTION -- Performing Test HAVE_GETTID_FUNCTION - Success -- Looking for WSAPoll -- Looking for WSAPoll - not found -- Looking for WinExec -- Looking for WinExec - not found -- Looking for F_SETLKW -- Looking for F_SETLKW - found -- Performing Test HAVE_VAR_TIMEZONE -- Performing Test HAVE_VAR_TIMEZONE - Success -- Looking for SIGPROF -- Looking for SIGPROF - found -- Performing Test HAVE_STRUCT_TIME_TM_GMTOFF -- Performing Test HAVE_STRUCT_TIME_TM_GMTOFF - Success -- Performing Test HAVE_STRUCT_STAT_ST_MTIM -- Performing Test HAVE_STRUCT_STAT_ST_MTIM - Success -- Performing Test HAVE_RU_IDRSS -- Performing Test HAVE_RU_IDRSS - Success -- Performing Test HAVE_GMP_RANDINIT_MT -- Performing Test HAVE_GMP_RANDINIT_MT - Failed -- qsort_r() has GNU signature -- Performing Test HAVE__BUILTIN_CLZ -- Performing Test HAVE__BUILTIN_CLZ - Success -- Performing Test HAVE__BUILTIN_POPCOUNT -- Performing Test HAVE__BUILTIN_POPCOUNT - Success -- Performing Test HAVE___BUILTIN_EXPECT -- Performing Test HAVE___BUILTIN_EXPECT - Success -- Performing Test HAVE___THREAD -- Performing Test HAVE___THREAD - Success -- Performing Test HAVE_VOLATILE -- Performing Test HAVE_VOLATILE - Success -- Performing Test HAVE_INLINE -- Performing Test HAVE_INLINE - Success -- Performing Test O_LABEL_ADDRESSES -- Performing Test O_LABEL_ADDRESSES - Success -- Performing Test HAVE_WEAK_ATTRIBUTE -- Performing Test HAVE_WEAK_ATTRIBUTE - Success -- Performing Test HAVE_VISIBILITY_ATTRIBUTE -- Performing Test HAVE_VISIBILITY_ATTRIBUTE - Success -- Performing Test HAVE_ALLOCA -- Performing Test HAVE_ALLOCA - Success -- Performing Test HAVE_SIGNBIT -- Performing Test HAVE_SIGNBIT - Success -- Check for signal return type in -- Check for signal handler return type type void - found -- sysconf() support for _SC_NPROCESSORS_CONF -- sysconf() supports _SC_NPROCESSORS_CONF - found -- Performing Test TIME_WITH_SYS_TIME -- Performing Test TIME_WITH_SYS_TIME - Success -- llround(nextoward(0.5),-10) == 0 (ok) -- copysign(1.0, modf(-0.0, _)) == -1.0 (ok) CMake Warning (dev) at cmake/QLF.cmake:75 (install): Policy CMP0177 is not set: install() DESTINATION paths are normalized. Run "cmake --help-policy CMP0177" for policy details. Use the cmake_policy command to set the policy and suppress this warning. Call Stack (most recent call first): cmake/QLF.cmake:102 (add_swipl_target) src/CMakeLists.txt:336 (add_qcompile_target) This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at cmake/QLF.cmake:75 (install): Policy CMP0177 is not set: install() DESTINATION paths are normalized. Run "cmake --help-policy CMP0177" for policy details. Use the cmake_policy command to set the policy and suppress this warning. Call Stack (most recent call first): cmake/QLF.cmake:102 (add_swipl_target) src/CMakeLists.txt:337 (add_qcompile_target) This warning is for project developers. Use -Wno-dev to suppress it. CMake Deprecation Warning at packages/chr/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. CMake Deprecation Warning at packages/clib/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. -- Looking for socket in socket -- Looking for socket in socket - not found -- Looking for gethostent in nsl -- Looking for gethostent in nsl - not found -- Looking for socket -- Looking for socket - found -- Looking for sys/socket.h -- Looking for sys/socket.h - found -- Looking for sys/un.h -- Looking for sys/un.h - found -- Check size of socklen_t -- Check size of socklen_t - done -- Performing Test HAVE_H_ERRNO -- Performing Test HAVE_H_ERRNO - Success -- Performing Test HAVE_IP_MREQN -- Performing Test HAVE_IP_MREQN - Success -- Could NOT find LibUUID (missing: LIBUUID_INCLUDE_DIR) -- Looking for crypt -- Looking for crypt - not found -- Looking for crypt in crypt -- Looking for crypt in crypt - found -- Looking for syslog -- Looking for syslog - found -- Looking for fcntl.h -- Looking for fcntl.h - found -- Looking for utime.h -- Looking for utime.h - found -- Looking for crypt.h -- Looking for crypt.h - found -- Looking for syslog.h -- Looking for syslog.h - found -- Looking for sys/prctl.h -- Looking for sys/prctl.h - found -- Looking for netinet/tcp.h -- Looking for netinet/tcp.h - found -- Looking for setsid -- Looking for setsid - found -- Looking for utime -- Looking for utime - found -- Looking for strcasestr -- Looking for strcasestr - found -- Looking for pipe2 -- Looking for pipe2 - found -- Looking for prctl -- Looking for prctl - found -- Looking for initgroups -- Looking for initgroups - found -- Looking for setgroups -- Looking for setgroups - found -- Looking for malloc_info -- Looking for malloc_info - found -- Looking for open_memstream -- Looking for open_memstream - found -- Looking for posix_spawn -- Looking for posix_spawn - found -- Looking for gai_strerror -- Looking for gai_strerror - found -- Looking for hstrerror -- Looking for hstrerror - found -- Looking for setpriority -- Looking for setpriority - found CMake Deprecation Warning at packages/clpqr/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. CMake Deprecation Warning at packages/inclpr/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. CMake Deprecation Warning at packages/cpp/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. CMake Deprecation Warning at packages/http/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. -- Searching for jQuery -- Using system jQuery from /usr/share/javascript/jquery/jquery.min.js CMake Deprecation Warning at packages/plunit/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. CMake Deprecation Warning at packages/sgml/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. -- Looking for io.h -- Looking for io.h - not found -- Looking for snprintf -- Looking for snprintf - found -- Looking for strtoll -- Looking for strtoll - found CMake Deprecation Warning at packages/utf8proc/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. CMake Deprecation Warning at packages/zlib/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. CMake Deprecation Warning at packages/archive/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. -- Found LibArchive: /usr/lib/x86_64-linux-gnu/libarchive.so (found suitable version "3.7.4", minimum required is "3.0.0") -- Looking for archive_read_support_filter_bzip2 -- Looking for archive_read_support_filter_bzip2 - found -- Looking for archive_read_support_filter_compress -- Looking for archive_read_support_filter_compress - found -- Looking for archive_read_support_filter_gzip -- Looking for archive_read_support_filter_gzip - found -- Looking for archive_read_support_filter_grzip -- Looking for archive_read_support_filter_grzip - found -- Looking for archive_read_support_filter_lrzip -- Looking for archive_read_support_filter_lrzip - found -- Looking for archive_read_support_filter_lzip -- Looking for archive_read_support_filter_lzip - found -- Looking for archive_read_support_filter_lzma -- Looking for archive_read_support_filter_lzma - found -- Looking for archive_read_support_filter_lzop -- Looking for archive_read_support_filter_lzop - found -- Looking for archive_read_support_filter_none -- Looking for archive_read_support_filter_none - found -- Looking for archive_read_support_filter_rpm -- Looking for archive_read_support_filter_rpm - found -- Looking for archive_read_support_filter_uu -- Looking for archive_read_support_filter_uu - found -- Looking for archive_read_support_filter_xz -- Looking for archive_read_support_filter_xz - found -- Looking for archive_read_support_format_7zip -- Looking for archive_read_support_format_7zip - found -- Looking for archive_read_support_format_ar -- Looking for archive_read_support_format_ar - found -- Looking for archive_read_support_format_cab -- Looking for archive_read_support_format_cab - found -- Looking for archive_read_support_format_cpio -- Looking for archive_read_support_format_cpio - found -- Looking for archive_read_support_format_empty -- Looking for archive_read_support_format_empty - found -- Looking for archive_read_support_format_gnutar -- Looking for archive_read_support_format_gnutar - found -- Looking for archive_read_support_format_iso9660 -- Looking for archive_read_support_format_iso9660 - found -- Looking for archive_read_support_format_lha -- Looking for archive_read_support_format_lha - found -- Looking for archive_read_support_format_mtree -- Looking for archive_read_support_format_mtree - found -- Looking for archive_read_support_format_rar -- Looking for archive_read_support_format_rar - found -- Looking for archive_read_support_format_raw -- Looking for archive_read_support_format_raw - found -- Looking for archive_read_support_format_tar -- Looking for archive_read_support_format_tar - found -- Looking for archive_read_support_format_xar -- Looking for archive_read_support_format_xar - found -- Looking for archive_read_support_format_zip -- Looking for archive_read_support_format_zip - found -- Looking for archive_read_set_seek_callback -- Looking for archive_read_set_seek_callback - found CMake Deprecation Warning at packages/pcre/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. -- Found PCRE: /usr/lib/x86_64-linux-gnu/libpcre2-8.so CMake Deprecation Warning at packages/yaml/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. -- Could NOT find LibYAML (missing: LIBYAML_INCLUDE_DIR YAML_LIBRARY) CMake Deprecation Warning at packages/ssl/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument value. Or, use the ... syntax to tell CMake that the project requires at least but has been updated to work with policies introduced by or earlier. -- Found OpenSSL: /usr/lib/x86_64-linux-gnu/libcrypto.so (found version "3.4.0") -- Looking for Security/Security.h -- Looking for Security/Security.h - not found -- Performing Test HAVE_KSECCLASS -- Performing Test HAVE_KSECCLASS - Failed -- Looking for timegm -- Looking for timegm - found -- Looking for ERR_remove_state -- Looking for ERR_remove_state - found -- Looking for ERR_remove_thread_state -- Looking for ERR_remove_thread_state - found -- Looking for X509_check_host -- Looking for X509_check_host - found -- Looking for CRYPTO_THREADID_get_callback -- Looking for CRYPTO_THREADID_get_callback - not found -- Looking for CRYPTO_THREADID_set_callback -- Looking for CRYPTO_THREADID_set_callback - not found -- Looking for EVP_MD_CTX_free -- Looking for EVP_MD_CTX_free - found -- Looking for OPENSSL_zalloc -- Looking for OPENSSL_zalloc - not found -- Looking for X509_CRL_get0_signature -- Looking for X509_CRL_get0_signature - found -- Looking for X509_get0_signature -- Looking for X509_get0_signature - found -- Looking for X509_get0_notBefore -- Looking for X509_get0_notBefore - found -- Looking for X509_get0_notAfter -- Looking for X509_get0_notAfter - found -- Looking for X509_digest -- Looking for X509_digest - found -- Looking for X509_CRL_digest -- Looking for X509_CRL_digest - found -- Looking for X509_STORE_CTX_get0_chain -- Looking for X509_STORE_CTX_get0_chain - found -- Looking for i2d_re_X509_tbs -- Looking for i2d_re_X509_tbs - found -- Looking for OpenSSL_version -- Looking for OpenSSL_version - found -- Looking for EVP_CIPHER_CTX_reset -- Looking for EVP_CIPHER_CTX_reset - found -- Looking for EVP_blake2b512 -- Looking for EVP_blake2b512 - found -- Looking for EVP_blake2s256 -- Looking for EVP_blake2s256 - found -- Looking for EVP_sha3_224 -- Looking for EVP_sha3_224 - found -- Looking for EVP_sha3_256 -- Looking for EVP_sha3_256 - found -- Looking for EVP_sha3_384 -- Looking for EVP_sha3_384 - found -- Looking for EVP_sha3_512 -- Looking for EVP_sha3_512 - found -- Looking for HMAC_CTX_new -- Looking for HMAC_CTX_new - found -- Looking for HMAC_CTX_free -- Looking for HMAC_CTX_free - found -- Looking for EVP_MAC_fetch -- Looking for EVP_MAC_fetch - found -- Looking for EVP_MAC_CTX_free -- Looking for EVP_MAC_CTX_free - found -- Looking for EVP_MAC_update -- Looking for EVP_MAC_update - found -- Looking for EVP_MAC_final -- Looking for EVP_MAC_final - found -- Looking for EVP_PKEY_new -- Looking for EVP_PKEY_new - found -- Looking for EVP_PKEY_free -- Looking for EVP_PKEY_free - found -- Looking for EVP_PKEY_get_bn_param -- Looking for EVP_PKEY_get_bn_param - found -- Looking for EVP_PKEY_get_octet_string_param -- Looking for EVP_PKEY_get_octet_string_param - found -- Looking for EVP_PKEY_get_size -- Looking for EVP_PKEY_get_size - found -- Looking for EVP_PKEY_decrypt -- Looking for EVP_PKEY_decrypt - found -- Looking for EVP_PKEY_encrypt -- Looking for EVP_PKEY_encrypt - found -- Looking for EVP_PKEY_sign -- Looking for EVP_PKEY_sign - found -- Looking for EVP_PKEY_verify -- Looking for EVP_PKEY_verify - found -- Looking for EVP_PKEY_Q_keygen -- Looking for EVP_PKEY_Q_keygen - found -- Looking for OSSL_PARAM_construct_utf8_string -- Looking for OSSL_PARAM_construct_utf8_string - found -- Looking for BN_check_prime -- Looking for BN_check_prime - found -- Looking for SSL_CTX_set_alpn_protos -- Looking for SSL_CTX_set_alpn_protos - found -- Looking for OSSL_PARAM_BLD_new -- Looking for OSSL_PARAM_BLD_new - found -- Looking for SSL_SESSION_get_protocol_version -- Looking for SSL_SESSION_get_protocol_version - found -- Looking for SSL_get_client_random -- Looking for SSL_get_client_random - found -- Looking for openssl/kdf.h -- Looking for openssl/kdf.h - found -- Looking for openssl/core_names.h -- Looking for openssl/core_names.h - found -- Looking for openssl/param_build.h -- Looking for openssl/param_build.h - found -- Looking for openssl/applink.c -- Looking for openssl/applink.c - not found -- Performing Test GET_SIGNATURE_PASSED -- Performing Test GET_SIGNATURE_PASSED - Success -- GET0SIG_CONST_T const -- Check size of CRYPTO_THREADID -- Check size of CRYPTO_THREADID - failed -- Performing Test HAVE_X509_VERIFY_PARAM_ID -- Performing Test HAVE_X509_VERIFY_PARAM_ID - Failed -- Using /bin/openssl to create ssl test certificates -- Finding default package generator -- Setup for packaging with DEB -- Configuring done (52.0s) -- Generating done (0.2s) -- Build files have been written to: /home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/build LD_LIBRARY_PATH=/home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/src/../build/src:/home/hornik/tmp/R/lib:/usr/lib/x86_64-linux-gnu:/usr/lib/jvm/java-21-openjdk-amd64/lib/server:/home/hornik/tmp/R/lib:/usr/lib/x86_64-linux-gnu:/usr/lib/jvm/java-21-openjdk-amd64/lib/server:/home/hornik/tmp/R/lib:/usr/lib/x86_64-linux-gnu:/usr/lib/jvm/java-21-openjdk-amd64/lib/server:/usr/lib/R/lib:/usr/lib/x86_64-linux-gnu:/usr/lib/jvm/default-java/lib/server:/home/hornik/tmp/R/lib:/usr/lib/x86_64-linux-gnu:/usr/lib/jvm/java-21-openjdk-amd64/lib/server cmake --build ../build gmake[2]: Entering directory '/home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/build' [ 0%] Building C object src/CMakeFiles/mkvmi.dir/mkvmi.c.o [ 1%] Linking C executable mkvmi [ 1%] Built target mkvmi [ 1%] Building C object src/CMakeFiles/defatom.dir/defatom.c.o [ 1%] Linking C executable defatom [ 1%] Built target defatom [ 1%] Building C object packages/ssl/CMakeFiles/plugin_crypto4pl.dir/crypto4pl.c.o [ 1%] Building C object packages/ssl/CMakeFiles/plugin_crypto4pl.dir/crypt_blowfish.c.o [ 2%] Building C object packages/ssl/CMakeFiles/plugin_crypto4pl.dir/__/clib/error.c.o [ 2%] Linking C shared module crypto4pl.so [ 2%] Built target plugin_crypto4pl [ 3%] Generating ../../home/doc/packages/examples/ssl/.created [ 3%] Generating ../../home/doc/packages/examples/ssl/client.pl [ 3%] Generating ../../home/doc/packages/examples/ssl/https.pl [ 3%] Generating ../../home/doc/packages/examples/ssl/server.pl [ 3%] Built target plugin_ssl_example_files [ 3%] Generating ../home/boot/.created [ 4%] Generating ../home/boot/apply.pl [ 4%] Generating ../home/boot/attvar.pl [ 4%] Generating ../home/boot/autoload.pl [ 4%] Generating ../home/boot/bags.pl [ 4%] Generating ../home/boot/dcg.pl [ 4%] Generating ../home/boot/dicts.pl [ 4%] Generating ../home/boot/dwim.pl [ 4%] Generating ../home/boot/engines.pl [ 5%] Generating ../home/boot/expand.pl [ 5%] Generating ../home/boot/gc.pl [ 5%] Generating ../home/boot/history.pl [ 5%] Generating ../home/boot/init.pl [ 5%] Generating ../home/boot/iri.pl [ 5%] Generating ../home/boot/license.pl [ 5%] Generating ../home/boot/load.pl [ 5%] Generating ../home/boot/messages.pl [ 6%] Generating ../home/boot/packs.pl [ 6%] Generating ../home/boot/predopts.pl [ 6%] Generating ../home/boot/qlf.pl [ 6%] Generating ../home/boot/rc.pl [ 6%] Generating ../home/boot/syspred.pl [ 6%] Generating ../home/boot/tabling.pl [ 6%] Generating ../home/boot/threads.pl [ 6%] Generating ../home/boot/toplevel.pl [ 7%] Generating ../home/boot/topvars.pl [ 7%] Built target core_boot [ 7%] Generating ../home/library/.created [ 7%] Generating ../home/library/aggregate.pl [ 7%] Generating ../home/library/ansi_term.pl [ 8%] Generating ../home/library/apply.pl [ 8%] Generating ../home/library/apply_macros.pl [ 8%] Generating ../home/library/arithmetic.pl [ 8%] Generating ../home/library/assoc.pl [ 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../home/include/sicstus/.created [ 35%] Generating ../home/include/sicstus/sicstus.h [ 35%] Built target core_compat_sicstus [ 35%] Generating ../home/include/Yap/.created [ 35%] Generating ../home/include/Yap/YapInterface.h [ 35%] Built target core_compat_yap [ 35%] Generating ../../home/library/ext/chr/chr/.created [ 35%] Generating ../../home/library/ext/chr/chr/a_star.pl [ 35%] Generating ../../home/library/ext/chr/chr/binomialheap.pl [ 35%] Generating ../../home/library/ext/chr/chr/builtins.pl [ 35%] Generating ../../home/library/ext/chr/chr/chr_compiler_errors.pl [ 35%] Generating ../../home/library/ext/chr/chr/chr_compiler_options.pl [ 35%] Generating ../../home/library/ext/chr/chr/chr_compiler_utility.pl [ 35%] Generating ../../home/library/ext/chr/chr/chr_debug.pl [ 36%] Generating ../../home/library/ext/chr/chr/chr_hashtable_store.pl [ 36%] Generating ../../home/library/ext/chr/chr/chr_integertable_store.pl [ 36%] Generating ../../home/library/ext/chr/chr/chr_messages.pl [ 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Generating ../../home/doc/packages/examples/chr/listdom.chr [ 38%] Generating ../../home/doc/packages/examples/chr/primes.chr [ 38%] Built target plugin_chr_example_files [ 38%] Generating ../../home/library/ext/clib/.created [ 38%] Generating ../../home/library/ext/clib/memfile.pl [ 38%] Built target plugin_memfile__pl_libs [ 38%] Generating ../../home/library/ext/clib/filesex.pl [ 38%] Built target plugin_files__pl_libs [ 38%] Generating ../../home/library/ext/clib/uri.pl [ 38%] Built target plugin_uri__pl_libs [ 38%] Generating ../../home/library/ext/clib/prolog_stream.pl [ 38%] Built target plugin_prolog_stream__pl_libs [ 38%] Generating ../../home/library/ext/clib/md5.pl [ 38%] Built target plugin_md54pl__pl_libs [ 38%] Generating ../../home/library/ext/clib/crypt.pl [ 38%] Built target plugin_crypt__pl_libs [ 38%] Generating ../../home/library/ext/clib/hash_stream.pl [ 38%] Built target plugin_hashstream__pl_libs [ 38%] Generating ../../home/library/ext/clib/sha.pl [ 38%] Built 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plugin_sched__pl_libs [ 44%] Generating ../../home/library/ext/clib/uuid.pl [ 44%] Built target plugin_uuid__pl_libs [ 44%] Generating ../../home/library/ext/clib/prolog_server.pl [ 44%] Generating ../../home/library/ext/clib/socket.pl [ 44%] Generating ../../home/library/ext/clib/streampool.pl [ 44%] Generating ../../home/library/ext/clib/udp_broadcast.pl [ 44%] Built target plugin_socket__pl_libs [ 44%] Generating ../../home/library/ext/clpqr/.created [ 44%] Generating ../../home/library/ext/clpqr/clpq.pl [ 44%] Generating ../../home/library/ext/clpqr/clpr.pl [ 44%] Built target plugin_clpqr__pl_libs [ 44%] Generating ../../home/library/ext/clpqr/clpq/.created [ 44%] Generating ../../home/library/ext/clpqr/clpq/bb_q.pl [ 44%] Generating ../../home/library/ext/clpqr/clpq/bv_q.pl [ 44%] Generating ../../home/library/ext/clpqr/clpq/fourmotz_q.pl [ 45%] Generating ../../home/library/ext/clpqr/clpq/ineq_q.pl [ 45%] Generating ../../home/library/ext/clpqr/clpq/itf_q.pl [ 45%] Generating 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packages/sgml/CMakeFiles/plugin_sgml2pl.dir/parser.c.o [ 90%] Building C object packages/sgml/CMakeFiles/plugin_sgml2pl.dir/util.c.o [ 90%] Building C object packages/sgml/CMakeFiles/plugin_sgml2pl.dir/charmap.c.o [ 90%] Building C object packages/sgml/CMakeFiles/plugin_sgml2pl.dir/catalog.c.o [ 90%] Building C object packages/sgml/CMakeFiles/plugin_sgml2pl.dir/model.c.o [ 90%] Building C object packages/sgml/CMakeFiles/plugin_sgml2pl.dir/xmlns.c.o [ 91%] Building C object packages/sgml/CMakeFiles/plugin_sgml2pl.dir/utf8.c.o [ 91%] Building C object packages/sgml/CMakeFiles/plugin_sgml2pl.dir/xml_unicode.c.o [ 91%] Building C object packages/sgml/CMakeFiles/plugin_sgml2pl.dir/quote.c.o [ 91%] Building C object packages/sgml/CMakeFiles/plugin_sgml2pl.dir/sgml2pl.c.o [ 91%] Building C object packages/sgml/CMakeFiles/plugin_sgml2pl.dir/xsd.c.o [ 91%] Building C object packages/sgml/CMakeFiles/plugin_sgml2pl.dir/error.c.o [ 91%] Linking C shared module sgml2pl.so [ 91%] Built target plugin_sgml2pl [ 91%] Building C object packages/utf8proc/CMakeFiles/plugin_unicode4pl.dir/unicode4pl.c.o [ 91%] Building C object packages/utf8proc/CMakeFiles/plugin_unicode4pl.dir/utf8proc.c.o [ 91%] Linking C shared module unicode4pl.so [ 91%] Built target plugin_unicode4pl [ 91%] Building C object packages/zlib/CMakeFiles/plugin_zlib4pl.dir/zlib4pl.c.o [ 92%] Linking C shared module zlib4pl.so [ 92%] Built target plugin_zlib4pl [ 92%] Building C object packages/archive/CMakeFiles/plugin_archive4pl.dir/archive4pl.c.o [ 93%] Linking C shared module archive4pl.so [ 93%] Built target plugin_archive4pl [ 94%] Building C object packages/pcre/CMakeFiles/plugin_pcre4pl.dir/pcre4pl.c.o [ 94%] Linking C shared module pcre4pl.so [ 94%] Built target plugin_pcre4pl [ 95%] Building C object packages/ssl/CMakeFiles/plugin_ssl4pl.dir/ssl4pl.c.o [ 95%] Building C object packages/ssl/CMakeFiles/plugin_ssl4pl.dir/__/clib/error.c.o [ 95%] Linking C shared module ssl4pl.so [ 95%] Built target plugin_ssl4pl [ 95%] Build home/library/INDEX.pl [ 95%] Built target library_index_library [ 96%] Build home/library/clp/INDEX.pl [ 96%] Built target library_index_library_clp [ 96%] Build home/library/dcg/INDEX.pl [ 96%] Built target library_index_library_dcg [ 96%] Build home/library/unicode/INDEX.pl [ 96%] Built target library_index_library_unicode [ 96%] Build home/library/lynx/INDEX.pl [ 96%] Built target library_index_library_lynx [ 96%] QLF compiling prolog_colour.qlf [ 96%] Built target qlf-prolog_colour [ 96%] QLF compiling prolog_xref.qlf [ 97%] Built target qlf-prolog_xref [ 97%] Building C object src/CMakeFiles/swipl-ld.dir/swipl-ld.c.o [ 97%] Linking C executable swipl-ld [ 97%] Built target swipl-ld [ 98%] -- CHR bootstrap compilation step 1 [ 98%] -- CHR bootstrap compilation step 2 [ 98%] -- CHR bootstrap compilation step 3 [ 98%] -- CHR bootstrap compilation step 4 [ 98%] Generating chr.pl [ 98%] Built target chr_compile [ 98%] Build home/library/ext/clib/INDEX.pl [ 98%] Built target library_index_library_ext_clib [ 98%] Build home/library/ext/http/http/INDEX.pl [ 98%] Built target library_index_library_ext_http_http [ 98%] Build home/library/ext/plunit/INDEX.pl [ 98%] Built target library_index_library_ext_plunit [ 98%] Build home/library/ext/sgml/INDEX.pl [ 98%] Built target library_index_library_ext_sgml [ 98%] Build home/library/ext/utf8proc/INDEX.pl [ 98%] Built target library_index_library_ext_utf8proc [ 98%] Build home/library/ext/zlib/INDEX.pl [ 98%] Built target library_index_library_ext_zlib [ 98%] Build home/library/ext/archive/INDEX.pl [ 98%] Built target library_index_library_ext_archive [ 98%] Build home/library/ext/pcre/INDEX.pl [ 98%] Built target library_index_library_ext_pcre [ 98%] Built target socket [ 98%] Built target memfile [ 98%] Built target files [ 98%] Built target uri [ 98%] Built target readutil [ 98%] Built target prolog_stream [ 98%] Built target md54pl [ 98%] Built target crypt [ 98%] Built target hashstream [ 98%] Built target sha4pl [ 98%] Built target cgi [ 98%] Built target time [ 98%] Built target process [ 98%] Built target streaminfo [ 98%] Built target mallocinfo [ 98%] Built target unix [ 98%] Built target uid [ 98%] Built target rlimit [ 98%] Built target syslog [ 98%] Built target sched [ 98%] Built target clib [ 98%] Generating tests/test_certs/generated [ 98%] Built target test_certificates [100%] Build home/library/ext/ssl/INDEX.pl [100%] Built target library_index_library_ext_ssl [100%] Build home/library/ext/ssl/http/INDEX.pl [100%] Built target library_index_library_ext_ssl_http gmake[2]: Leaving directory '/home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/build' cmake --install ../build -- Install configuration: "Release" -- Set non-toolchain portion of runtime path of "/home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/inst/swipl/lib/swipl/bin/x86_64-linux/swipl" to "/home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/inst/swipl/lib/swipl/lib/x86_64-linux" -- Set non-toolchain portion of runtime path of "/home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/inst/swipl/lib/libswipl.so.9.3.18" to "/home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/inst/swipl/lib/swipl/lib/x86_64-linux" -- Set non-toolchain portion of runtime path of "/home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/inst/swipl/lib/swipl/bin/x86_64-linux/swipl-ld" to "/home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/inst/swipl/lib/swipl/lib/x86_64-linux" (cd ../build ; LD_LIBRARY_PATH=/home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/src/../build/src:/home/hornik/tmp/R/lib:/usr/lib/x86_64-linux-gnu:/usr/lib/jvm/java-21-openjdk-amd64/lib/server:/home/hornik/tmp/R/lib:/usr/lib/x86_64-linux-gnu:/usr/lib/jvm/java-21-openjdk-amd64/lib/server:/home/hornik/tmp/R/lib:/usr/lib/x86_64-linux-gnu:/usr/lib/jvm/java-21-openjdk-amd64/lib/server:/usr/lib/R/lib:/usr/lib/x86_64-linux-gnu:/usr/lib/jvm/default-java/lib/server:/home/hornik/tmp/R/lib:/usr/lib/x86_64-linux-gnu:/usr/lib/jvm/java-21-openjdk-amd64/lib/server ctest) Test project /home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/build Start 1: swipl:abi-version 1/63 Test #1: swipl:abi-version ................ Passed 0.00 sec Start 2: swipl:basic 2/63 Test #2: swipl:basic ...................... Passed 0.24 sec Start 3: swipl:unprotected 3/63 Test #3: swipl:unprotected ................ Passed 0.24 sec Start 4: swipl:core 4/63 Test #4: swipl:core ....................... Passed 2.37 sec Start 5: swipl:db 5/63 Test #5: swipl:db ......................... Passed 1.20 sec Start 6: swipl:attvar 6/63 Test #6: swipl:attvar ..................... Passed 0.24 sec Start 7: swipl:debug 7/63 Test #7: swipl:debug ...................... Passed 0.44 sec Start 8: swipl:tabling 8/63 Test #8: swipl:tabling .................... Passed 2.82 sec Start 9: swipl:library 9/63 Test #9: swipl:library .................... Passed 1.12 sec Start 10: swipl:compile 10/63 Test #10: swipl:compile .................... Passed 0.18 sec Start 11: swipl:charset 11/63 Test #11: swipl:charset .................... Passed 0.17 sec Start 12: swipl:eclipse 12/63 Test #12: swipl:eclipse .................... Passed 0.14 sec Start 13: swipl:clp 13/63 Test #13: swipl:clp ........................ Passed 0.25 sec Start 14: swipl:GC 14/63 Test #14: swipl:GC ......................... Passed 1.28 sec Start 15: swipl:save 15/63 Test #15: swipl:save ....................... Passed 1.44 sec Start 16: swipl:files 16/63 Test #16: swipl:files ...................... Passed 1.27 sec Start 17: swipl:transaction 17/63 Test #17: swipl:transaction ................ Passed 0.24 sec Start 18: swipl:xsb/basic_tests 18/63 Test #18: swipl:xsb/basic_tests ............ Passed 0.46 sec Start 19: swipl:xsb/ai_tests 19/63 Test #19: swipl:xsb/ai_tests ............... Passed 0.48 sec Start 20: swipl:xsb/ptq 20/63 Test #20: swipl:xsb/ptq .................... Passed 0.37 sec Start 21: swipl:xsb/neg_tests 21/63 Test #21: swipl:xsb/neg_tests .............. Passed 0.39 sec Start 22: swipl:xsb/delay_tests 22/63 Test #22: swipl:xsb/delay_tests ............ Passed 0.60 sec Start 23: swipl:xsb/wfs_tests 23/63 Test #23: swipl:xsb/wfs_tests .............. Passed 0.40 sec Start 24: swipl:xsb/table_tests 24/63 Test #24: swipl:xsb/table_tests ............ Passed 0.88 sec Start 25: swipl:xsb/incremental_tests 25/63 Test #25: swipl:xsb/incremental_tests ...... Passed 0.24 sec Start 26: swipl:xsb/nonmt_tests 26/63 Test #26: swipl:xsb/nonmt_tests ............ Passed 0.25 sec Start 27: swipl:xsb/sub_tests 27/63 Test #27: swipl:xsb/sub_tests .............. Passed 0.33 sec Start 28: swipl:thread 28/63 Test #28: swipl:thread ..................... Passed 5.44 sec Start 29: swipl:thread_wait 29/63 Test #29: swipl:thread_wait ................ Passed 0.41 sec Start 30: swipl:signals 30/63 Test #30: swipl:signals .................... Passed 0.77 sec Start 31: swipl:rational 31/63 Test #31: swipl:rational ................... Passed 0.22 sec Start 32: chr:chr 32/63 Test #32: chr:chr .......................... Passed 0.80 sec Start 33: clib:crypt 33/63 Test #33: clib:crypt ....................... Passed 0.13 sec Start 34: clib:memfile 34/63 Test #34: clib:memfile ..................... Passed 0.14 sec Start 35: clib:readutil 35/63 Test #35: clib:readutil .................... Passed 0.13 sec Start 36: clib:stream 36/63 Test #36: clib:stream ...................... Passed 0.12 sec Start 37: clib:uri 37/63 Test #37: clib:uri ......................... Passed 0.15 sec Start 38: clib:filesex 38/63 Test #38: clib:filesex ..................... Passed 0.12 sec Start 39: clib:cgi 39/63 Test #39: clib:cgi ......................... Passed 0.13 sec Start 40: clib:time 40/63 Test #40: clib:time ........................ Passed 0.87 sec Start 41: clib:process 41/63 Test #41: clib:process ..................... Passed 0.25 sec Start 42: clib:socket 42/63 Test #42: clib:socket ...................... Passed 4.36 sec Start 43: clib:af_unix 43/63 Test #43: clib:af_unix ..................... Passed 0.06 sec Start 44: clib:udp_sockets 44/63 Test #44: clib:udp_sockets ................. Passed 0.13 sec Start 45: clib:uuid 45/63 Test #45: clib:uuid ........................ Passed 0.12 sec Start 46: cpp:ffi 46/63 Test #46: cpp:ffi .......................... Passed 0.15 sec Start 47: cpp:cpp 47/63 Test #47: cpp:cpp .......................... Passed 0.25 sec Start 48: http:json 48/63 Test #48: http:json ........................ Passed 0.31 sec Start 49: http:term_html 49/63 Test #49: http:term_html ................... Passed 0.23 sec Start 50: http:cgi_stream 50/63 Test #50: http:cgi_stream .................. Passed 0.22 sec Start 51: http:http 51/63 Test #51: http:http ........................ Passed 0.43 sec Start 52: http:multipart 52/63 Test #52: http:multipart ................... Passed 0.26 sec Start 53: http:proxy 53/63 Test #53: http:proxy ....................... Passed 0.37 sec Start 54: http:websocket 54/63 Test #54: http:websocket ................... Passed 0.32 sec Start 55: http:graphql 55/63 Test #55: http:graphql ..................... Passed 0.24 sec Start 56: sgml:sgml 56/63 Test #56: sgml:sgml ........................ Passed 0.11 sec Start 57: sgml:sgml_write 57/63 Test #57: sgml:sgml_write .................. Passed 0.09 sec Start 58: sgml:xsd 58/63 Test #58: sgml:xsd ......................... Passed 0.15 sec Start 59: sgml:c14n 59/63 Test #59: sgml:c14n ........................ Passed 0.17 sec Start 60: zlib:zlib 60/63 Test #60: zlib:zlib ........................ Passed 0.28 sec Start 61: archive:archive 61/63 Test #61: archive:archive .................. Passed 0.26 sec Start 62: pcre:pcre 62/63 Test #62: pcre:pcre ........................ Passed 0.21 sec Start 63: ssl:ssl 63/63 Test #63: ssl:ssl .......................... Passed 4.24 sec 100% tests passed, 0 tests failed out of 63 Total Test time (real) = 40.71 sec rm ../inst/swipl/bin/swipl rm ../inst/swipl/bin/swipl-ld rm ../inst/swipl/lib/swipl/bin/*/swipl rm ../inst/swipl/lib/swipl/bin/*/swipl-ld touch ../build/done g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -Iswipl-devel/src -I../inst/swipl/lib/swipl/include -D_REENTRANT -D__SWI_PROLOG__ -D__SWI_EMBEDDED__ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -Iswipl-devel/src -I../inst/swipl/lib/swipl/include -D_REENTRANT -D__SWI_PROLOG__ -D__SWI_EMBEDDED__ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c rswipl.cpp -o rswipl.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o rswipl.so RcppExports.o rswipl.o -L/home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/inst/swipl/lib -lswipl -Wl,-rpath,$ORIGIN/../swipl/lib -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpVp3tnG/R.INSTALL1ef77917bf13f1/rswipl/src' installing via 'install.libs.R' to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-rswipl/00new/rswipl ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rswipl) begin installing package ‘rolog’ * installing *source* package ‘rolog’ ... ** this is package ‘rolog’ version ‘0.9.20’ ** package ‘rolog’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-16) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpBgTSyj/R.INSTALL1f5aaa13f7c0b/rolog/src' Found SWI-Prolog at /home/hornik/tmp/CRAN_recheck/Library/rswipl/swipl/lib/swipl g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I"/home/hornik/tmp/CRAN_recheck/Library/rswipl/swipl/lib/swipl/include" -D_REENTRANT -D__SWI_PROLOG__ -DRPACKAGE -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/rswipl/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I"/home/hornik/tmp/CRAN_recheck/Library/rswipl/swipl/lib/swipl/include" -D_REENTRANT -D__SWI_PROLOG__ -DRPACKAGE -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/rswipl/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c crolog.cpp -o crolog.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o rolog.so RcppExports.o crolog.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpBgTSyj/R.INSTALL1f5aaa13f7c0b/rolog/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-rolog/00new/rolog/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rolog) * installing *source* package ‘blavaan’ ... ** this is package ‘blavaan’ version ‘0.5-8’ ** package ‘blavaan’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-16) 14.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpIB18dA/R.INSTALL1f067e3cd16b64/blavaan/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I"../inst/include" -I"/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I"../inst/include" -I"/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -Wall -pedantic -mtune=native -c stanExports_stanmarg.cc -o stanExports_stanmarg.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/exp_sinh.hpp:19, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/integrate_1d.hpp:8, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor.hpp:14, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim.hpp:15, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/dump.hpp:7, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:43, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/rstaninc.hpp:4, from stanExports_stanmarg.h:23, from stanExports_stanmarg.cc:5: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] 498 | { 2.239451308457907276646263599248028318747e-2543Q, 4.087883914826209167187520163938786544603e-936Q, 7.764136408896555253208502557716060646316e-345Q, 2.569416154701911093162209102345213640613e-127Q, 2.705458070464053854934121429341356913371e-47Q, 7.491188348021113917760090371440516887521e-18Q, 5.198294603582515693057809058359470253018e-07Q, 0.005389922804577577496651910020276229582764Q, 0.1920600417448513371971708155403009636026Q, 1.140219687292143805081229623729334820659Q, 7.806184141505854070922571674663437423603Q, 497.9910059199034049204308876883447088185Q, 27016042.73379639480428530637021605662451Q, 172966369043668599418.5877957471751383371Q, 1.061675373362961296862509492541522509127e+55Q, 3.811736521949348274993846910907815663725e+149Q, 4.031589783270233530756613072386084762687e+406Q, 1.857591496578858801010210685679553673527e+1105Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:498:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] 499 | { 6.38192460297577997296130116084380488004e-1543Q, 4.553284218142424152191512347101108073691e-568Q, 1.937062162895195937060002998269756423851e-209Q, 1.660126625033739077374114876720390220712e-77Q, 5.725718222547734673080418904622339594753e-29Q, 4.168381624810496871907721134250128161942e-11Q, 0.0001613301975005046953323705477328478299103Q, 0.0474713399587676291203429066086137662056Q, 0.5099627601758401314316521881645115690603Q, 2.636240582466121690921186199130019570689Q, 39.05613529229837860979125052359555007623Q, 30990.22477506600812220045610450185310364Q, 1857609984963.014390268032888333743476748Q, 2359106700485891760372588191034580.237445Q, 5.305502438164240038024865289303441329929e+90Q, 4.153264547632969989660655052675878016131e+246Q, 2.39549808558050342461418974153843135261e+670Q, 1.907821628968714220362207148967088886146e+1822Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:499:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] 500 | { 6.057903324174675880054786918700573277193e-1981Q, 8.656190904067090962653034260124195755274e-1202Q, 3.301911576596318022491539142850442018161e-729Q, 1.425485029898429297758878823810205941516e-442Q, 1.016496544573331920304016689793414356743e-268Q, 2.848036810989534605128535426330975462895e-163Q, 2.581928872313165828368701686010678577144e-99Q, 1.601590227152633400640250804848713890905e-60Q, 5.423190544363659530944338243992687682219e-37Q, 1.016381761828840448285257216929561921503e-22Q, 4.635725075794601084424604353869125707077e-14Q, 8.3498615886950739967156481568160331201e-09Q, 1.303868885475613415062833232828648525669e-05Q, 0.001153300807253218344728159062725073079949Q, 0.01814288911244882236930497812936819917973Q, 0.1025656071886267491128524112054469619388Q, 0.3242301173345578897587341005053281543043Q, 0.7688636442387784234265303257286061242944Q, 1.704936145319479582718350104944998619577Q, 4.332223509891009397137256165478273534279Q, 16.00424777396788542203662195209964219854Q, 119.9894477197320344196270723637925628186Q, 3053.206094606356294417950881488718170062Q, 602365.2553559583292243897621777047334194Q, 3550455773.201059364690484967711333425091Q, 5733723619916794.008354021149856937812556Q, 97490164875869638451560588.97182161070984Q, 7.132097466952214251618865223622602893458e+42Q, 4.527309308592487932893086561010303870042e+70Q, 3.115319987396348432317683626917454615693e+116Q, 1.165082263946878699920850154957972424971e+192Q, 4.61868993445541953416660351754288757642e+316Q, 1.235693446874006572643670815583618997533e+522Q, 6.085142451732094001360716852852249745666e+860Q, 1.561268268167538223129534325473369675815e+1419Q, 7.15416720524977809484490807341332912337e+2339Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:500:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] 501 | { 1.316397640984446973307154953464589633275e-2244Q, 2.91103714441677346374884778987181929964e-1748Q, 1.041515112823364264288004198932170597134e-1361Q, 1.163952866111770553035180609992941917098e-1060Q, 3.331010008037941781256743115855292034324e-826Q, 1.311012824977050544924978303237678019851e-643Q, 2.102714428828884821953890862683078649826e-501Q, 1.181154283940326231672292577754503055478e-390Q, 2.109394497146605580650701202262455040085e-304Q, 3.142026651033038465813811858591067955951e-237Q, 6.481721750272378322539690406725748230209e-185Q, 3.583598691717140876356841025821167196821e-144Q, 1.92664353411734602269656833786034601971e-112Q, 9.922976982058019429687317584840590274898e-88Q, 1.74739966510164583390419990770953521763e-68Q, 1.70290143918426077776224230568679054616e-53Q, 8.030136878691961276301034231071221582072e-42Q, 9.917365028053524354476145352392235487451e-33Q, 1.195101660603996715429218637550950454647e-25Q, 3.914005753291886226833591030642884022779e-20Q, 7.736530260670029404731999770065344717989e-16Q, 1.718208187412490487060798651160186368903e-12Q, 6.957606467986766668781610852908826758303e-10Q, 7.490494532575157167666978009034915042833e-08Q, 2.876694179706214244895454007509365858007e-06Q, 4.95621623915248246930633393189624651192e-05Q, 0.0004580885614011081480136084266758386238991Q, 0.002611973650987327972015238352563580017097Q, 0.01024958074171405301707965287545674192198Q, 0.03016224300141855969532721437631887510999Q, 0.07123470770339354612512733126593011802245Q, 0.1425077997714610113981393440866519718873Q, 0.2522461348260661654197754128666648295859Q, 0.4094768120120717375909393632502588445701Q, 0.6284517616579117758312487536756803604881Q, 0.9367868281384272374009925574604673700344Q, 1.390682216155298525280673341216151282237Q, 2.107722788359705067834932911785748508994Q, 3.347673174455422472577549274497972709551Q, 5.736410541438001909256000925370163885819Q, 10.96982957507422942804757729955529934671Q, 24.38435887010115093181364909323819215825Q, 66.24753699117985966148476651092908482621Q, 234.2315029073004369735419071058951676162Q, 1166.800705234530212373324266823192926477Q, 9058.072807556345123303399558638850050032Q, 124646.6048080201712485538680062639558529Q, 3584819.86746951378682172637961966062923Q, 266100993.7796082691768128807430671558536Q, 66825052601.51570420440082629824643725379Q, 80338167537283.97995953411028754151943899Q, 721934731984192713.8330181471216700501392Q, 85912332322414837303920.66199595232277841Q, 282145179878388664670389842403.4386259681Q, 65637349877520123390370406122266056686.38Q, 3.628585210946194380811829731899355186227e+48Q, 2.255004287064249520310520131039130736102e+62Q, 1.15869387156744556281317453901581151608e+80Q, 6.381237955604791946525597400340497294869e+102Q, 1.010840568769200528470714372039635841864e+132Q, 3.146392870507528140666504475776071670543e+169Q, 4.36361765578710599110918832751720492273e+217Q, 2.853414836089672424680428668400813268807e+279Q, 6.729793209488189821208480033926845423686e+358Q, 5.551856590995612599330193819104783525931e+460Q, 4.052255999971348848790422668447727946207e+591Q, 4.359321017798455720139540978196326313327e+759Q, 2.491143253847753891477290704847758735118e+975Q, 2.715360792058091922045750051250504657e+1252Q, 1.435205921116767351962933143664802808424e+1608Q, 8.210855869756939741458957539090139842153e+2064Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:501:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] 502 | { 2.5206619423030582050540170122224114428e-2389Q, 1.172863116157072894734245940044946298728e-2108Q, 5.723395259249713010169313313952092349583e-1861Q, 2.197389499531280825740095933047095895838e-1642Q, 1.745161518126606205352284095182052308004e-1449Q, 2.988322581168499697535468502285209728217e-1279Q, 5.082152338298280900263082030896703594299e-1129Q, 1.923568771941791888696041505006148197297e-996Q, 1.922376701708619531115877054556550086857e-879Q, 3.43354234203261313677968607194090162681e-776Q, 4.520976144958693723499608471428644204377e-685Q, 1.16924290517103592239484417171431040132e-604Q, 1.076080723321413327903675953550818303011e-533Q, 4.542643147897936251189382845876349248208e-471Q, 8.39641135188984130629872933142091374729e-416Q, 4.975865312177024229863027999897167556333e-367Q, 5.478993165227465768218836546574553849014e-324Q, 5.284390536217028049162677728277890870188e-286Q, 1.753997013998162369603538709409426038521e-252Q, 6.702720150152123722417807613786063904275e-223Q, 8.560241294360251079054160391146097054699e-197Q, 9.357825403471029128412705980972206582797e-174Q, 2.008012274394970040775210542988145301135e-153Q, 1.759362217490417244193766476411245146585e-135Q, 1.201323068157632801024303577546837842597e-119Q, 1.130871751114348441263036859622267361614e-105Q, 2.427952702329304891356334984001160462099e-93Q, 1.853857010064827708666752242673457462783e-82Q, 7.450531057316733181973526587285947355417e-73Q, 2.227578113196083858417625605575495347595e-64Q, 6.723847629738657283145680261671783557431e-57Q, 2.682661571058473846237236792137934196058e-50Q, 1.79453195451344128721262062986439838442e-44Q, 2.482641507616913094034333751341582768753e-39Q, 8.548433311573474998083868427676274583188e-35Q, 8.62683103876914985130407106643678050193e-31Q, 2.947486044786180737441798148453414409162e-27Q, 3.872329992960205091594692590987101453023e-24Q, 2.188786812967355018227938536553422999502e-21Q, 5.877663279328016310239105745938007253203e-19Q, 8.184245820130904480351031879568469982524e-17Q, 6.383596940050023404498310185052683420494e-15Q, 2.985846320564205038037745987061543784625e-13Q, 8.894313235339439363097219119871323774239e-12Q, 1.779353851443023403734921943727167209889e-10Q, 2.505382916672247087749339155220756062847e-09Q, 2.587725630426792604401006002267344237741e-08Q, 2.033572921227284576438445719455687616491e-07Q, 1.25575991824042977482635039643574244403e-06Q, 6.269440412694030058863353111989674862175e-06Q, 2.595085881599872954251937862499883118425e-05Q, 9.105996179813948353400602282697524464869e-05Q, 0.0002762392802117902551874788776118764135082Q, 0.0007371672770779048357858142458553279273489Q, 0.001757270507480588460625943761648134470357Q, 0.003793199741311863237629531234477439491776Q, 0.007504045999882254423903408991718678739289Q, 0.01375129203357108795095672207425737042887Q, 0.0235648806669815705789256424396565511416Q, 0.03808206546757287312410400667727321525232Q, 0.0584750515250823575509888778022876539008Q, 0.08588741816168257779870858476342798002897Q, 0.1213974127142878083976184138280395303104Q, 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22405725198422081640863565993885.01556046Q, 335382887519057371346768487572597807.0471Q, 1.805229891096869056758012265512553255292e+40Q, 4.143352671969591623813814524116221876304e+45Q, 4.918933828381959415593488120823071981949e+51Q, 3.759479884167637531775066458674648098607e+58Q, 2.370354252414880186596684665159418630029e+66Q, 1.632887662723346042746203904027271808135e+75Q, 1.689790288382573271901196765672215169737e+85Q, 3.768157678554177644154419456918439518135e+96Q, 2.725167569380753976402510741556225451742e+109Q, 1.01581121689650812980198251914622703178e+124Q, 3.298856991576337284158560413886137181497e+140Q, 1.691896320782650875076203269043188495403e+159Q, 2.688862164597444111407738620805399395688e+180Q, 2.842157259124605697187795386218677216391e+204Q, 4.747639199403024362447283672125852826296e+231Q, 3.341705701165246712607275760771067534333e+262Q, 3.011199583815608630823405186037102754549e+297Q, 1.223690427483633883424913552261079866419e+337Q, 9.342435130798085441244782123257085986706e+381Q, 6.75013277944506940788764281864974376778e+432Q, 2.883587060602951466391472557821367572471e+490Q, 5.807295241013203323828534467621397444726e+555Q, 5.796152105409012013566864143195753032862e+629Q, 4.122626017834653186081615813053037582347e+713Q, 4.285202011931086479539142857463076440052e+808Q, 1.99573761404250032069947440682788052405e+916Q, 2.014079397178923658633495910333688587014e+1038Q, 3.570148522918403340320830841666908310066e+1176Q, 1.617637477295168349967593280814302779633e+1333Q, 5.291797544280981679311029646634340608003e+1510Q, 7.48399182023635266336559154483155451479e+1711Q, 6.420118348194716283591292220766712713315e+1939Q, 1.230075220167288536615919838362095973387e+2198Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] 503 | { 3.795390672070017300753231208972661157463e-2465Q, 7.779777553755136439657877267977245651568e-2316Q, 1.433306323222013275209083063019716735198e-2175Q, 8.384206893282840565983221028480116073658e-2044Q, 5.095877570390321573443926231967674337647e-1920Q, 9.801617117780997982789217759593347992677e-1804Q, 1.698559621973235103207681863307358445538e-1694Q, 7.086325399079152707198289787557526167382e-1592Q, 1.791883740278245862466944715145415778126e-1495Q, 6.537977048684207893536199493437969077762e-1405Q, 7.774908468832649847178339204899627179575e-1320Q, 6.478864602726321305200912515898143930486e-1240Q, 7.765090574678907306134193726947577898876e-1165Q, 2.630326119433748477458706343770434986992e-1094Q, 4.749906839546177165095241119597567665718e-1028Q, 8.299891364005248930752542816259554461453e-966Q, 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/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:503:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] 504 | { 5.892170517318086666953925258259606259061e-2504Q, 6.117305974456569837115715631749111865698e-2427Q, 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2.265003149514209136521685690794152242451e+1970Q, 7.958960851406909431550138661401662745318e+2032Q, 2.704333418922120675152324269895601692782e+2097Q, 1.027316567877779588221212575606512955238e+2164Q, 5.067724711353594001952616900450932235233e+2232Q, 3.788567045328638236731381566671647412124e+2303Q, 5.033943905367906070883711379852229702017e+2376Q, 1.401291904868944410529538867922103039787e+2452Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:504:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] 505 | { 1.371514866891850860580147671247114055774e-2523Q, 1.78059151397248974751721161286837911487e-2484Q, 5.721785888758699069103456365589770844687e-2446Q, 4.65054375815005991582966268522321514424e-2408Q, 9.766439188577561460790237859691768982479e-2371Q, 5.411793370039458455354990385284371780101e-2334Q, 8.077731109845845920201388563994532085669e-2298Q, 3.314457987808662239136747203944447166213e-2262Q, 3.814216774420151193012892981499696410824e-2227Q, 1.25553244197497295620771570706808273245e-2192Q, 1.205334248405440130028736096195044170071e-2158Q, 3.439859219242599171410929107063382097289e-2125Q, 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1.483306035186298578810854793693026754937e+2147Q, 9.644046259875525824373227005626744381049e+2180Q, 2.136807992154677198095425726464162609443e+2215Q, 1.644881859879540417424569583091022315341e+2250Q, 4.486258285656428254910735253711445952652e+2285Q, 4.422477869652754055735874573990613824885e+2321Q, 1.607928077696045804457995352614731652546e+2358Q, 2.200965498515380898569903830116828659581e+2395Q, 1.158169679831249142228245049215974628172e+2433Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:505:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] 508 | { 1.311124362501499644235686793936615689367e-2539Q, 8.804534216807813314757104329326588296303e-933Q, 6.151866113634416819256167600386076492591e-342Q, 7.489561872273541742689179537030908098807e-125Q, 2.901271904710770582279868424530636078955e-45Q, 2.956328411110696011133881227129821807172e-16Q, 7.566001300199861545999807860317199813659e-06Q, 0.02939829736944376661348111575241831549228Q, 0.4375314491139458627156716229106118956143Q, 1.797291527801965779398851915787147159794Q, 20.19084569885298758559779466541998891553Q, 3190.204004406569421821255762141757969656Q, 464240600.3151569718431815049204268434463Q, 8064746494304895107671.373051861760453278Q, 1.345267603784213433366506701434024787812e+57Q, 1.312864386644320246962258704304378039761e+152Q, 3.774555882479308671780101506364300541449e+409Q, 4.727526321376723657695030280786783264447e+1108Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:508:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] 509 | { 2.266244194795986437688029480753454536709e-1539Q, 5.948198448973651573057290957613527891511e-565Q, 9.309165866973257982306900988767978877e-207Q, 2.935089536156722196786549328771374738603e-75Q, 3.724520625101352679705795925568729252173e-27Q, 9.984303520500369046645618946072879096604e-10Q, 0.001431356453978288648029393232888019996234Q, 0.1627612496098382979023134567209341094245Q, 0.8715578869575546863808265846496354994425Q, 4.866023145010624995980060168572588092579Q, 155.7337423425961768825532940518427467513Q, 324159.1075527578458688529527151875836096Q, 52559121164917.31725683197728293103939879Q, 181320101439002742278180646071519946.3143Q, 1.108358234190440710092732108743944497577e+93Q, 2.358481112878241907590525258624871004068e+249Q, 3.697706182598331996489023917650042511899e+673Q, 8.005136174837239155367039692394787566174e+1825Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:509:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] 510 | { 2.762173700981399765618908933145320277069e-1977Q, 2.39391240206587981734693603632697690162e-1198Q, 5.538595991089672359026435602811151013816e-726Q, 1.450273233250857905077679568886962533672e-439Q, 6.272581042589046274956826312460762996165e-266Q, 1.06595762540573348910987779005613885572e-160Q, 5.861309595694473480177550103363514588648e-97Q, 2.205278730651401402935850497892571252242e-58Q, 4.529434469306552018275201007754555774945e-35Q, 5.149496065541224290846694532009922569098e-21Q, 1.42514032948545940458919452929629803818e-12Q, 1.558687650051216471666230916065939291762e-07Q, 0.0001480770730060221114876366833392461280225Q, 0.00800978386203168352857804963031419632516Q, 0.0781267934470234464218464002858630624883Q, 0.2837432722671675969293700817591698892949Q, 0.6266921805102975877365600915734732725014Q, 1.224519291305484855806028685503263380562Q, 2.828371835589717993286260875443918026645Q, 9.308530387014651096841645763883748667386Q, 51.00340931322451024765452196424930212962Q, 604.5686663559257609710666271339665397866Q, 24963.7894862358300483813083168580513256Q, 8072295.599338304211683309182738003369921Q, 78274670038.30925761297829268300403781939Q, 208243829479833121.9614650100740045614524Q, 5835995851993422640885142487.353759023593Q, 7.038358981684021693676871973997393903892e+44Q, 7.365871905585280499359762130717295092668e+72Q, 8.356559316758425271433369887928065115855e+118Q, 5.152598671967255958872374447108140847196e+194Q, 3.367711726599649783722226912309479425978e+319Q, 1.485503800735698079387410309977283298303e+525Q, 1.206093277935111329439185628983764517497e+864Q, 5.101934496467121392771497579825667303128e+1422Q, 3.854461007601356020735662570367145309928e+2343Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:510:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] 511 | { 6.801466297807648263832928079249921030841e-2241Q, 1.171357838472361572678710519863396121111e-1744Q, 3.263877177177999549213672495546362918233e-1358Q, 2.840730424450322878168790929290006130205e-1057Q, 6.331359514114723653384308531115955576826e-823Q, 1.940682122137038336501816556640832563117e-640Q, 2.424120579853831996718550176595436495523e-498Q, 1.060491186278820392276664616813055045647e-387Q, 1.47497560627560557171208231533307889666e-301Q, 1.711053655951593201729320308363487612571e-234Q, 2.748977044034961560163018702370375057024e-182Q, 1.183661289657511405743956059634031695806e-141Q, 4.956069833269360409024211595600427510944e-110Q, 1.987957235263791766538675534206288734102e-85Q, 2.726390196575204566967127968691492639624e-66Q, 2.069277780420174850386325233097351936186e-51Q, 7.599593796102130947873535802397682362576e-40Q, 7.30986765636526911109545189857700652429e-31Q, 6.860826488850009000152917649714036190099e-24Q, 1.750137476813662935088831237226143585691e-18Q, 2.694698939685357192909812465408615672038e-14Q, 4.662399523365191039306448758212945866003e-11Q, 1.471147096470191077279866117408849945112e-08Q, 1.234588382988672174156726122838549322181e-06Q, 3.698047527501062909973755871812833332555e-05Q, 0.0004974045204857426689718493339751312553248Q, 0.003594744266562108630858602906463214186729Q, 0.01606776382707240397141574634561698324885Q, 0.04963226590082011795403845149528264747534Q, 0.115744254393794946820912074463938084869Q, 0.2189395796674687235327095676147418958643Q, 0.3566541233572264162152813601314252592465Q, 0.526976767182178399604596779203609072881Q, 0.7398541068159815990923143586965891134531Q, 1.029425785377785516113796863012575526595Q, 1.472772244004991739780066538168681045534Q, 2.232105810859563539773192829947722929989Q, 3.664852093836574055260421484415211997792Q, 6.634229039042487667472625010842259069012Q, 13.47608350422833149354320757617644730575Q, 31.42073749047538137686874567762943831435Q, 86.79141791656354041821488779088943576306Q, 296.6528186585230549314029606641812360007Q, 1329.946577806955206827993564277915367892Q, 8441.344633114675813741927901407789834969Q, 83749.32841027025051399559911280792540265Q, 1475556.123428945995692670896358851704835Q, 54395134.46210963278883974741024860672763Q, 5179091016.902155867702113242034208944851Q, 1668941700142.962732014338449363262585953Q, 2575302232826040.930983214056263444447065Q, 29708121106264252782.32997718334559128081Q, 4538831967003783409536690.268981265379605Q, 19138023153446381738359211515557.27962435Q, 5716447050875173187782003939002192529233.0Q, 4.057627687752827735975516066653569584098e+50Q, 3.237780711010981929311620914986172494341e+64Q, 2.136177206956376829298160177481616436455e+82Q, 1.510581027396811547515066542591252259814e+105Q, 3.072511300612383685659247652666898751003e+134Q, 1.227994026803117836885996853139658018152e+172Q, 2.186769076188247553183183888358166072813e+220Q, 1.836091623107666564777188149335650549888e+282Q, 5.560380603618894755889563902333421267615e+361Q, 5.88998929678686832672515862440158058623e+463Q, 5.520096462216289192193975675075507876736e+594Q, 7.625041435865992600228986717464906255015e+762Q, 5.594942726633317888883469851113674080397e+978Q, 7.83065490388354698017246745548709611393e+1255Q, 5.31445051505238075828831366993821695924e+1611Q, 3.903967482555967268768154031672119092969e+2068Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:511:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] 512 | { 1.386351840518308620839358763554215551931e-2385Q, 5.692714192122587749075617787151443181487e-2105Q, 2.451539999979072363325054695825688359483e-1857Q, 8.306259271201342345210834094714244365054e-1639Q, 5.821665674291993981062416504099267133283e-1446Q, 8.797358828459107177088680667625679647909e-1276Q, 1.320339777528218308293628576902954472032e-1125Q, 4.410206727121778476048579405149038344619e-993Q, 3.88958196740022428105997715246477744601e-876Q, 6.130840948743111294681197948959379863932e-773Q, 7.123986226444013036571903990814705244112e-682Q, 1.625956113900887259810636803089770478958e-601Q, 1.320572219097695369155247708778376474798e-530Q, 4.919706191404226525652134855992684547645e-468Q, 8.024860788515940296029723266854707311236e-413Q, 4.196871666597654619740159911562644470158e-364Q, 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1.338015284560800822144968909259062165181e+207Q, 2.532661918076356979939863944652000925382e+234Q, 2.020013699747769556918589976882904336926e+265Q, 2.062587137093633738153639964961537739828e+300Q, 9.497974733972601205199439097559404355421e+339Q, 8.216866861631646227849070101465292350345e+384Q, 6.727368363173988690006109427672655451647e+435Q, 3.256512214038182544092657678379570013082e+493Q, 7.431565554497628535696075925669517436095e+558Q, 8.404907826884863403395059072909982751661e+632Q, 6.774135867874352304403519336536368216792e+716Q, 7.978808683551832748089548367396910285319e+811Q, 4.210726051563171486361372753281330825868e+919Q, 4.815228807107039224016318021511536231054e+1041Q, 9.671936246443378281031357192551408517124e+1179Q, 4.965867685385961630088948794046462865437e+1336Q, 1.840788819983942185751345185174055491455e+1514Q, 2.949992127934753413488342242442835124216e+1715Q, 2.867592218659729126785338974659499305745e+1943Q, 6.225766615806442563214766060198378536369e+2201Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:512:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] 513 | { 2.153709119065749047384536448355900579318e-2461Q, 4.147193855893089802932480896953837816201e-2312Q, 7.177658143381361090563844720372254951009e-2172Q, 3.944230945173987596102529995072916187169e-2040Q, 2.25203912532665129298170461102995236498e-1916Q, 4.069220991977459613504377433271627793079e-1800Q, 6.624466915659053303929653909407578699373e-1691Q, 2.596257880517152044266679980520189262305e-1588Q, 6.167272854034828267808038080246702477106e-1492Q, 2.113894573656814042644120551594507889596e-1401Q, 2.361521019353054468674145270219814329078e-1316Q, 1.848638669607253145389026119290761323843e-1236Q, 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3.825007293467971681545785259893286155041e+2271Q, 7.49023122288057767110049546000007822061e+2417Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:513:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] 514 | { 3.396187965591260438897244230849252949133e-2500Q, 3.41747159490076194366166435197892344024e-2423Q, 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3.725531848970894050805213745804832393498e+2036Q, 1.306062165371036629009984640124042230203e+2101Q, 5.118934916287102017127361633252835489039e+2167Q, 2.605313756841350663666908726854909254754e+2236Q, 2.009526310597759100040671805249352251293e+2307Q, 2.754855306228952463612144173863317999165e+2380Q, 7.912081217360857939375130225445886436671e+2455Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:514:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] 515 | { 7.967275909080119173260394105433878829225e-2520Q, 1.018328235596330817906641738531405586075e-2480Q, 3.221582354315018745133234535022765889901e-2442Q, 2.577837396125923566854501272739510663846e-2404Q, 5.329692879048212454158155682964916728316e-2367Q, 2.907510479746435248283830679207105484516e-2330Q, 4.272515272958308108570054029079326796036e-2294Q, 1.725920944512128844318784735433112719801e-2258Q, 1.955365288532498067112004500362223834133e-2223Q, 6.33672146224698551106793067421941599521e-2189Q, 5.989055317923577956367893208101537342355e-2155Q, 1.682695935085939711542031154300739978911e-2121Q, 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1.089982666110516514588223374299888929834e+2219Q, 8.522650010812465527516484755846137052377e+2253Q, 2.3610765478146005801436450249132797273e+2289Q, 2.364162440159704628905098100196710729676e+2325Q, 8.731002547249769088070048025315387840088e+2361Q, 1.213938210671504830248830740465072981967e+2399Q, 6.488456377484030822273896401425291289227e+2436Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:515:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:522:4: warning: non-standard suffix on floating constant [-Wpedantic] 522 | m_t_min = -8.916559006047578828258918121202852111589Q; | ^~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/sinh_sinh.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/integrate_1d.hpp:9: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] 454 | { 3.08828741797632286606397498241221385e+00Q, 1.48993184649209158013612709175719825e+02Q, 3.41228924788343710247727162226946917e+06Q, 2.06932576604261779073902718911207249e+18Q, 2.08700240760947556038306635808129743e+50Q, 2.01976616071790815078008252209994199e+137Q, 5.67213444764437168603513205349222232e+373Q, 3.06198394306784061113736467298565948e+1016Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] 455 | { 9.13048762637669674838078869945948356e-01Q, 1.41578929466281159169215570833490092e+01Q, 6.70421551622327648231120321610008518e+03Q, 9.64172532715049941526010563818587232e+10Q, 2.50895076008577848514087028569888161e+30Q, 1.44726353571033714499079379626715686e+83Q, 3.75263401205045334128277886549019357e+226Q, 2.57846123932685341261715758547064293e+616Q, 1.25169402230987931584130068460134989e+1676Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] 456 | { 4.07297690065758690150573950473604675e-01Q, 1.68206670702114874332932330092838356e+00Q, 6.15089798638672951539668935798437533e+00Q, 4.00396235192940022205839866641270319e+01Q, 7.92920024793102632052902471550336177e+02Q, 1.02984971333097958319686053784919407e+05Q, 3.03862310925243857437932941891415841e+08Q, 1.56544547436249486913719231527597560e+14Q, 4.04246509843021910355659662715183671e+23Q, 1.32170682742965817915034577861235933e+39Q, 4.99123178209955799774620736137366103e+64Q, 7.35294385035987596594501676609562008e+106Q, 2.45145417229813114714431821340237112e+176Q, 1.03030479197459267961759023741376327e+291Q, 9.88478945193556730604342445576518136e+479Q, 3.74498116076433060427765453233124618e+791Q, 1.90292390713026708045766158039087796e+1305Q, 1.72712488231809244721915842027236657e+2152Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] 457 | { 1.98135272251478172615235718398538323e-01Q, 6.40155673500526017670785720911319502e-01Q, 1.24892869825397766254802900819319987e+00Q, 2.26608084094432123181038001270985037e+00Q, 4.29646269670232738148137717958679987e+00Q, 9.13029038709995569641811827045549232e+00Q, 2.31110765386427993316995139635470937e+01Q, 7.42770603432401243012214481410240677e+01Q, 3.26720920711525891697790966796945063e+02Q, 2.15948569431181871552028449867301828e+03Q, 2.41501526289641306037808670196966696e+04Q, 5.31819400275692915826269282626844010e+05Q, 2.80058685721704332307817790755562305e+07Q, 4.52406507979433877971977526863358905e+09Q, 3.08561257398067712180174566763237112e+12Q, 1.33882673301580747789133427708622972e+16Q, 6.25461717656234138147247754416652254e+20Q, 6.18209853581416475394863999233554548e+26Q, 3.07729364978845806686511011060697837e+34Q, 2.34895728937010430290698332595743680e+44Q, 1.14854319789946975790127332653552673e+57Q, 2.25530007001006986846545694404767295e+73Q, 1.87791950056919539419801461538703336e+94Q, 1.36747388793862427976781689638282239e+121Q, 4.24212177246407592514720294750151286e+155Q, 8.23473099012134325391170623028607158e+199Q, 6.06134211888406631001019923425936351e+256Q, 6.32519197436029413652766295658658263e+329Q, 3.61942292928205643948383705201563065e+423Q, 8.82464433126646489632943769283758364e+543Q, 3.35512488018651738642854323317447493e+698Q, 1.02411434678684822400261582079656500e+897Q, 7.40716670979374017620610271197945784e+1151Q, 1.30455147283895162835186634827124464e+1479Q, 2.02948723345659016173510134582487641e+1899Q, 6.99019443250345564805134094483457477e+2438Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] 458 | { 9.83967894006732033862249554537934739e-02Q, 3.00605617659955035122465185012715805e-01Q, 5.19857978994938490000644785900799951e-01Q, 7.70362083298887700858583505753306721e-01Q, 1.07131136964131183026831222500748063e+00Q, 1.45056975808899844502126797109703210e+00Q, 1.95077854952036033400296546339240312e+00Q, 2.64003177369555146770080103921424631e+00Q, 3.63137237366741227331951933364601985e+00Q, 5.11991533090335057003526222543242753e+00Q, 7.45666098140488328926087222725984231e+00Q, 1.13022612688997262443461342203136009e+01Q, 1.79641069247277254966592982669611020e+01Q, 3.01781070460189822236726995418068214e+01Q, 5.40387580031237056709826662540066860e+01Q, 1.04107731447746954767459980678311109e+02Q, 2.18029520120262807725988909352359830e+02Q, 5.02155698625910164594509258651311707e+02Q, 1.28862131099822242045586488612672886e+03Q, 3.73921687080054832376623401153054636e+03Q, 1.24750729702019123239464970064060864e+04Q, 4.87639975322669212414357357061002683e+04Q, 2.28145658221913012154676335814417144e+05Q, 1.30877796006484301664040981436471740e+06Q, 9.46084663420966407698078336053299177e+06Q, 8.88883120363727962245667776649286152e+07Q, 1.12416882897434413447175648471746990e+09Q, 1.99127672953214446985509145592687205e+10Q, 5.16743469106098464964433058111638245e+11Q, 2.06721881420399088776240044545119948e+13Q, 1.35061503318410040604770421574064883e+15Q, 1.53854066283650818848773859278941683e+17Q, 3.29074729054035066052820102585085173e+19Q, 1.43729138188449881561963100200796631e+22Q, 1.40983244553034728562740932242727657e+25Q, 3.45913548027797144127990544649862792e+28Q, 2.39872058234095409213724024023509754e+32Q, 5.39880660461729295997086364918754801e+36Q, 4.61334000258062860955942270137550165e+41Q, 1.78768590966790245678294238939560892e+47Q, 3.84198437012433853552557148945213178e+53Q, 5.75279795570858370009870455748773410e+60Q, 7.77181203842728655149182334288749850e+68Q, 1.26967304420408162635234502672130357e+78Q, 3.49567677376573156773252547632961336e+88Q, 2.36251947497169244454694635287097330e+100Q, 6.00214389327365112307366927985587840e+113Q, 9.29071630346415553922675334522602561e+128Q, 1.51444223803384709004933819608345315e+146Q, 4.83290204410990250226310317342789471e+165Q, 6.09623012864338569215560315517200736e+187Q, 6.73889214277659359787962707085479315e+212Q, 1.60917893672694484647176104023542732e+241Q, 2.30724123468764987944582372785293125e+273Q, 6.32636439816284705814531208407868829e+309Q, 1.23274815890184688792156489065830724e+351Q, 7.55519778823055185901318833981345378e+397Q, 7.85730655106759111844772008129590573e+450Q, 9.36328400229780321059086898529742817e+510Q, 1.11332545426270395766246494603539938e+579Q, 1.53432069979625061288117473415446630e+656Q, 3.94622553764411915381186808199466267e+743Q, 4.41554290953392996069257034424439949e+842Q, 7.62037777854651720247173134262034607e+954Q, 1.15650294539918196985498353779647134e+1082Q, 1.50761161209705395018419027031866347e+1226Q, 3.03485088181756935935831645680716816e+1389Q, 3.38561189018537177501905611143498298e+1574Q, 1.64407968993192526511230001818530622e+1784Q, 6.63148743223242467667800355907041029e+2021Q, 1.15911606715877477373516464924821476e+2291Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:458:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] 459 | { 4.91151003502902493004859475143401791e-02Q, 1.48013149674360733270682895306542340e-01Q, 2.48938813740683685679302156785267041e-01Q, 3.53325423692668437764413545980527251e-01Q, 4.62733556612235325924240102411897269e-01Q, 5.78912068164096306746325958452873475e-01Q, 7.03870253386062779930091622585657886e-01Q, 8.39965859144650568772715366992985538e-01Q, 9.90015066424437614655918533324528544e-01Q, 1.15743257014369913143250540144278056e+00Q, 1.34641275918536176274682426896283388e+00Q, 1.56216711390133555099139972670978661e+00Q, 1.81123885278232337973709010374295886e+00Q, 2.10192441900655030086142289233010995e+00Q, 2.44484388558419793403331221069953203e+00Q, 2.85372074663291502355627105440782037e+00Q, 3.34645891095535078662878051589922609e+00Q, 3.94664582105783838715586741669722603e+00Q, 4.68567310159667852940801410152900804e+00Q, 5.60576223090815117543658276010994803e+00Q, 6.76433233683057420359243855855175747e+00Q, 8.24038317537998522052755780107530197e+00Q, 1.01439435612985772971719760903679427e+01Q, 1.26302471433889247197016543768391586e+01Q, 1.59213039578034525767683420917805218e+01Q, 2.03392186192185718515730871595417962e+01Q, 2.63584644576063375239063530328964372e+01Q, 3.46892633322415240903243772580777748e+01Q, 4.64129146701972896279022543245987086e+01Q, 6.32055079389042420324823016892494512e+01Q, 8.77149726180890637368701810147417239e+01Q, 1.24209692624041149789460094889690346e+02Q, 1.79718634784512755704082576283626343e+02Q, 2.66081728332790018970422286819998479e+02Q, 4.03727302957571284052623415274320934e+02Q, 6.28811306654590870314912279241546792e+02Q, 1.00707983750749059403228978538051896e+03Q, 1.66156822918511428805794334715835287e+03Q, 2.82965144078658259775800007408843245e+03Q, 4.98438626658566913853681230634186899e+03Q, 9.10154692764781089316711776560031531e+03Q, 1.72689265547504972749956316341831556e+04Q, 3.41309957877860119013952370617496464e+04Q, 7.04566897705309280220071327032864763e+04Q, 1.52340421776127912819322591860346971e+05Q, 3.46047978289794741370038030428999755e+05Q, 8.28472420923318300234685980449600520e+05Q, 2.09759614660119394556971994518988102e+06Q, 5.63695079886127323617800640982012165e+06Q, 1.61407141085560724511058572293479599e+07Q, 4.94473067891506035994359725043521250e+07Q, 1.62781051682099135552732962095205423e+08Q, 5.78533297163228083837980097936281368e+08Q, 2.23083854068195568971189557384768608e+09Q, 9.38239130606473964277252886929412279e+09Q, 4.32814954477655169232818147143370442e+10Q, 2.20307274404924290439096300978395664e+11Q, 1.24524506710913641251205336694034299e+12Q, 7.86900053495782237478847410099854059e+12Q, 5.59953143297942246131549106648666176e+13Q, 4.52148694990209087674492643778610401e+14Q, 4.17688951654829326508268412199901397e+15Q, 4.45286775965049665585698503105745526e+16Q, 5.52914285314049806809138826588984682e+17Q, 8.07573251656285427526228838811700627e+18Q, 1.40204691626046869792238856080062664e+20Q, 2.92579141283223985009947325351094360e+21Q, 7.42643302933541088612408356755400686e+22Q, 2.32199633124573536432554419147246735e+24Q, 9.06419425063844243203436385576505269e+25Q, 4.48127904881944560890552322697008678e+27Q, 2.84904630472699064463968599282594753e+29Q, 2.36738115918335597454764956918757980e+31Q, 2.61582557845512122680388807973635504e+33Q, 3.91476494826329080795479762913295296e+35Q, 8.09204244855592921872201325412806040e+37Q, 2.35892132094063033238721339006551614e+40Q, 9.91521864853533259120934844876236731e+42Q, 6.15285105934265876352030730244956160e+45Q, 5.78027634014451538840307809528507880e+48Q, 8.44375173418648862568787172019022001e+51Q, 1.97334335089976670761175825761931164e+55Q, 7.60524737855621997973474323106432459e+58Q, 4.99205710493951041807363394610235299e+62Q, 5.77586342390391231642398949899839793e+66Q, 1.22180820194535560304052518248291191e+71Q, 4.91291723038713381630505551954597084e+75Q, 3.91397181373220237220120723831917341e+80Q, 6.45638806990528678730571952330861768e+85Q, 2.31122506852801035759561549878351498e+91Q, 1.88745815771943133919251977215527414e+97Q, 3.70848316543845309405007424631179900e+103Q, 1.85519881228353863491690263658048910e+110Q, 2.50978787317170531780713813087390423e+117Q, 9.79042375559121661656574862110333881e+124Q, 1.17908880794405074709159757136517906e+133Q, 4.71463184672247661988055185868884361e+141Q, 6.76265778595971324046101731037889126e+150Q, 3.77863792934416463055998231270977695e+160Q, 8.97819133628477274891556066769979914e+170Q, 9.95914407403494739885505580434362313e+181Q, 5.69630798679205432723450802096176313e+193Q, 1.86743452325707784871951519925288377e+206Q, 3.92719945859412568046939678789391943e+219Q, 5.97262802266570558434581771213406728e+233Q, 7.46293577265068378653739984957785219e+248Q, 8.77620026161886682323882402399676732e+264Q, 1.12240955327637524990782988952974327e+282Q, 1.82091452946462555573948654780251641e+300Q, 4.41446070956615785669448222555093749e+319Q, 1.90397541953366074155779318767572880e+340Q, 1.75902281129585020130874703618203168e+362Q, 4.24169226543235148528312412985493520e+385Q, 3.29481560149200680874049429678412127e+410Q, 1.03135148368973063748422508803572335e+437Q, 1.65119340908368036904973428016231291e+465Q, 1.74266589416784110509614783944413581e+495Q, 1.58844581452329281145953920728196433e+527Q, 1.66707913260906132496128590135534752e+561Q, 2.73591938942385354685476950777714705e+597Q, 9.72579530056263762611950442873242859e+635Q, 1.05939976357545005153997575210948938e+677Q, 5.11518133258374954640812727174811520e+720Q, 1.62189977683387633564608415164137138e+767Q, 5.13160378352024380054652132361473058e+816Q, 2.52913238575275285564889845966314333e+869Q, 3.11944472707029467274111976509771118e+925Q, 1.59495166899855372832309254674677663e+985Q, 5.78489108811836645985010918537259212e+1048Q, 2.63682062563962607583302320466728244e+1116Q, 2.77639914729635446526568065100606294e+1188Q, 1.29100591117079370649785145859270604e+1265Q, 5.28444381883484729377275155781628201e+1346Q, 3.96822241951490935324304074734991606e+1433Q, 1.19450143809568524145027520220707370e+1526Q, 3.31232848440880307300003548888720354e+1624Q, 2.05165402811808892980123939590704909e+1729Q, 7.28745294435475474950235921073537827e+1840Q, 4.04980582052614743975213722266303496e+1959Q, 1.02489069982330185861864247663932840e+2086Q, 3.68323339665104313610706754895420191e+2220Q, 6.30765607309438726154024457882187086e+2363Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:459:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] 460 | { 2.45471558362986365068916495863375252e-02Q, 7.37246687390334622422734853496288652e-02Q, 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2.33367455582609053817676883927592981e+1411Q, 1.51088703661957707064674032871094166e+1456Q, 2.58751847359969149251723060639056652e+1502Q, 1.30061395127966085145757755976532379e+1550Q, 2.13606222552299322654005297188550444e+1599Q, 1.28040046650693999927593879574416998e+1650Q, 3.14004479696111085451082602060045251e+1702Q, 3.54445798947819813290733040762684700e+1756Q, 2.07959058928044687396800353571401401e+1812Q, 7.18928436789152221379187719747515467e+1869Q, 1.66674057039586083195182422956301841e+1929Q, 2.96144319154423967308042996118314268e+1990Q, 4.62818622228372755683383431403798070e+2053Q, 7.33344579812102490343077358675798902e+2118Q, 1.36418147108226874642787854899398972e+2186Q, 3.46578234556914165783357030404723460e+2255Q, 1.40565670831906218450256157719581702e+2327Q, 1.06915717420033634558717882909227336e+2401Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] 461 | { 1.22722791705463782987186673092730169e-02Q, 3.68272289449259047084662870963424169e-02Q, 6.14133762687107999107794380606156658e-02Q, 8.60515970877820790729887694832007789e-02Q, 1.10762884001784544594356091768970671e-01Q, 1.35568393495778548180370153140547366e-01Q, 1.60489493745433548938038568465534727e-01Q, 1.85547813164508949628358434474487020e-01Q, 2.10765289867070052445854835116288718e-01Q, 2.36164222221462626796458521613760417e-01Q, 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3.56644781478399708285654633626787310e+1090Q, 5.37871519143314493436384142989505797e+1107Q, 1.51231507376826438439352643482625072e+1125Q, 8.00547597409214659416862336552752652e+1142Q, 8.05824292014776003962551051182620642e+1160Q, 1.55810667707874651581920999067306413e+1179Q, 5.84685322894210562805362663900103590e+1197Q, 4.30279053871861463775007328286068764e+1216Q, 6.27606568696844727186804750244767860e+1235Q, 1.83405691639178257209003812558712559e+1255Q, 1.08562206577049472147312923532596973e+1275Q, 1.31617110088183556471407953592008454e+1295Q, 3.30534811890625751178778666339188597e+1315Q, 1.73929710751143724152073404455311704e+1336Q, 1.94017558758640506527365311633351598e+1357Q, 4.64256117877888468390840687039281473e+1378Q, 2.41181028167559547953976181592626603e+1400Q, 2.75359028326650146526233980288420348e+1422Q, 6.99538184026698121966983693939988891e+1444Q, 4.00451124186760586509360315430592520e+1467Q, 5.23202484555080004711423052985251790e+1490Q, 1.58057811961053246035386581678791248e+1514Q, 1.11871792077110492782575037665515064e+1538Q, 1.88021076704060084216083677757823795e+1562Q, 7.60656064089491206752552083826812435e+1586Q, 7.51058336307020750806534892000369186e+1611Q, 1.83554419567039732901090730190332067e+1637Q, 1.12631598317224168716420027493130577e+1663Q, 1.76058045324267978077071148859252887e+1689Q, 7.11454090252573253550862708170430267e+1715Q, 7.54447665013986581882495689819567483e+1742Q, 2.13157561258614754140817896581925999e+1770Q, 1.62953544267683384450064825605699335e+1798Q, 3.42393824570039208761545128642814549e+1826Q, 2.00910152737038919233657554807306054e+1855Q, 3.34591874171713502502193846562110253e+1884Q, 1.60768420173566681503057284560969387e+1914Q, 2.26623321264716591681578650589551852e+1944Q, 9.53208108881430895613749023747672822e+1974Q, 1.21710154769951529957336846304572308e+2006Q, 4.80082954212402831503263841738379326e+2037Q, 5.95484092414598408997112765002169497e+2069Q, 2.36496081234284780469612914593602194e+2102Q, 3.06292618387296708176633714456063693e+2135Q, 1.31792936450130144017383754294435167e+2169Q, 1.92000470996606623202622993195686002e+2203Q, 9.65401246356529853165036795448719991e+2237Q, 1.70836636787270782624240314280943940e+2273Q, 1.08524396756651055665425968680627268e+2309Q, 2.52515527758383642102305453689375992e+2345Q, 2.19655419566926380800477364631433717e+2382Q, 7.29302139222844158929601074949211737e+2419Q, 9.43942215540978305304206842223557338e+2457Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] 464 | { 7.86824160483962150718731247753528972e+00Q, 8.80516388073301111614873617217928009e+02Q, 5.39627832352070566780640331455747505e+07Q, 8.87651189696816131653619534136597185e+19Q, 2.43279187926922555339407396412240848e+52Q, 6.39971351208020291074628474066382445e+139Q, 4.88537754925138382971529406336289926e+376Q, 7.16883681174178397147232888689884595e+1019Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] 465 | { 2.39852427630263521821751964327863340e+00Q, 5.24459642372668102196104972893810164e+01Q, 6.45788781959820175983419155536535220e+04Q, 2.50998524251137450575088710958358197e+12Q, 1.77402926932713870128394504873348147e+32Q, 2.78140611598309731397930137939524577e+85Q, 1.96038425539892219077400134901764646e+229Q, 3.66150166331050442649946863740591804e+619Q, 4.83160223742266359875093017291942249e+1679Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] 466 | { 1.74936958310838685164948357553735581e+00Q, 3.97965898193460781260142246747934196e+00Q, 1.84851459857444957000370375296526856e+01Q, 1.86488071893206798762140574520079510e+02Q, 5.97420569526326585534733485801413054e+03Q, 1.27041263514462334076609190768051333e+06Q, 6.16419301429598407050713079962266577e+09Q, 5.23085003181122252980303620742723664e+15Q, 2.22626092994336977442577822584431966e+25Q, 1.19993110204218159156995352671876189e+41Q, 7.47060214427514621386633671542416223e+66Q, 1.81446586052841067579857900138568293e+109Q, 9.97368828205170536427067380214302839e+178Q, 6.91104863699861841609881512683369620e+293Q, 1.09318211394169115127064538702854062e+483Q, 6.82844528756738528157668552351754659e+794Q, 5.72058982179767644458682394627277737e+1308Q, 8.56032690374774097638382410967859196e+2155Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] 467 | { 1.61385906218836617287347897159238284e+00Q, 1.99776729186967326240633804225996920e+00Q, 3.02023197990883422014272607858586524e+00Q, 5.47764184385905776136260784219973923e+00Q, 1.17966091649267167180700675171097629e+01Q, 3.03550484851859829445106624470076282e+01Q, 9.58442179379492086007230677188042206e+01Q, 3.89387023822999207648300659707623000e+02Q, 2.17919325035791134362027855479039721e+03Q, 1.83920812396413285238691815996130729e+04Q, 2.63212061259985616674528417452471371e+05Q, 7.42729650716946820985576548297567563e+06Q, 5.01587564834123235599460194208596041e+08Q, 1.03961086724154411336246801784030341e+11Q, 9.10032891181809197707572646881781254e+13Q, 5.06865116389023157141527800972456655e+17Q, 3.03996652071490261550678134010186516e+22Q, 3.85774019467200796234141077624516370e+28Q, 2.46554276366658108662483315347592086e+36Q, 2.41643944916779946083480638296809418e+46Q, 1.51709155392660414912154078562432491e+59Q, 3.82504341202141137966304147261186085e+75Q, 4.08958239682159863968142401533332977e+96Q, 3.82377589429556404969214069508991010e+123Q, 1.52310131188389950567280579870007714e+158Q, 3.79636429591225792206340580596443044e+202Q, 3.58806569407775804668752012761380285e+259Q, 4.80771394235873283225580334249205764e+332Q, 3.53246347094395956018650264083397114e+426Q, 1.10588270611697913736223556513462127e+547Q, 5.39876096236024571737551333865366627e+701Q, 2.11595993056851385189640470523173475e+900Q, 1.96510021934867185245970661270267904e+1155Q, 4.44393205109502635384704176698510343e+1482Q, 8.87699807096655545789464168899561262e+1902Q, 3.92593109193326452307669545677335709e+2442Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] 468 | { 1.58146595953669474418006927755018553e+00Q, 1.66914991043853474595928766810899114e+00Q, 1.85752318859500577038805456054280667e+00Q, 2.17566262362699411973750280579195666e+00Q, 2.67590137521102056412774254907718688e+00Q, 3.44773868249879174414308452011308777e+00Q, 4.64394654035546412593428923628065357e+00Q, 6.53020449657424861626175040050215115e+00Q, 9.58228501556680496101434956408351228e+00Q, 1.46836140751544096048943311347045852e+01Q, 2.35444954874098753301967806270994218e+01Q, 3.96352727330516670475446596081886449e+01Q, 7.03763520626753854729866526912608057e+01Q, 1.32588012478483886772029444321222706e+02Q, 2.66962564954156917240259777486475719e+02Q, 5.79374919850847267642551329761882844e+02Q, 1.36869192832130360517783396696756604e+03Q, 3.55943572153313055370459329132660088e+03Q, 1.03218667727076331844496375241465304e+04Q, 3.38662130285874148722242481662728477e+04Q, 1.27816625984024682983932609690817446e+05Q, 5.65408251392669309819682774275375355e+05Q, 2.99446204478172183285915112991350446e+06Q, 1.94497502342191494704216422938073734e+07Q, 1.59219300769056058775193216743984073e+08Q, 1.69428881861745991307405037132734657e+09Q, 2.42715618231130327064401251217732118e+10Q, 4.87031784819945548978505622564878836e+11Q, 1.43181965622918179279761684530563788e+13Q, 6.48947152309930125567236832263111486e+14Q, 4.80375775250898910621624420686976943e+16Q, 6.20009636130533154063228597685772759e+18Q, 1.50256856243991489872472363253210358e+21Q, 7.43606136718968825065770257988550430e+23Q, 8.26476121867792860277670169213789988e+26Q, 2.29773502789780434527854280137181506e+30Q, 1.80544977956953499695878114747293447e+34Q, 4.60447236019906193095622500171344417e+38Q, 4.45837121203062685356208723886733392e+43Q, 1.95763826111480930920135175891530462e+49Q, 4.76736813716250076391436967954985413e+55Q, 8.08882013947672128478290968549029064e+62Q, 1.23826089734928635728800137667726115e+71Q, 2.29227250527884206154485624438166937e+80Q, 7.15139237374919354944182099110281069e+90Q, 5.47671485015604443103262357109062276e+102Q, 1.57665561837070068115746726288773175e+116Q, 2.76544859595785195782707224216472471e+131Q, 5.10805125528313267335507302418826239e+148Q, 1.84712724771593770593326127127227089e+168Q, 2.64019849791365137425805671512502957e+190Q, 3.30712207665004277982044248938187504e+215Q, 8.94854908018147130170828014681013313e+243Q, 1.45387781135416845215757148230318159e+276Q, 4.51726707740089625471551690811905600e+312Q, 9.97430447590682462482304866834403173e+353Q, 6.92693028486990716815899177110112886e+400Q, 8.16310561774970561761094556639568748e+453Q, 1.10229203674018117764688357752075301e+514Q, 1.48517414340573263317638725427854581e+582Q, 2.31930659130340479680373862468017961e+659Q, 6.75943980795305614491339585238335763e+746Q, 8.57037256903489416057847741388693004e+845Q, 1.67601881139415883633596646631875881e+958Q, 2.88227840597067494281761984210848274e+1085Q, 4.25760590360997372209644858208981618e+1229Q, 9.71180927884114514977776411099980676e+1392Q, 1.22768447544318231419683656745290694e+1578Q, 6.75552744777466879522724469574589977e+1787Q, 3.08769330528996647489562213811332711e+2025Q, 6.11556995885701147380172201043083647e+2294Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:468:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] 469 | { 1.57345777357310838646187303563867071e+00Q, 1.59489275503866378652125176234375753e+00Q, 1.63853651553023474161201404240726646e+00Q, 1.70598040821221362042267472116012952e+00Q, 1.79972439460873727464624167982278042e+00Q, 1.92332285442565630724716834865923523e+00Q, 2.08159737331326817824115844787944556e+00Q, 2.28093488379007051069614759371332643e+00Q, 2.52969785238770465522974588384012833e+00Q, 2.83878478255295118549225363326336900e+00Q, 3.22239574502098061154099310373833179e+00Q, 3.69908135885423511174795221061725889e+00Q, 4.29318827433052679979662014839909054e+00Q, 5.03686535632233007617225633242190622e+00Q, 5.97287114091093219903794699750262296e+00Q, 7.15853842431107756435392592099817447e+00Q, 8.67142780089207638456187671594514668e+00Q, 1.06174736029792232565670017416978690e+01Q, 1.31428500226023559963724543395522033e+01Q, 1.64514562566842803959315507240301356e+01Q, 2.08309944999818906870911848992408145e+01Q, 2.66923598979164019005652953856219015e+01Q, 3.46299351479137818875120770497256101e+01Q, 4.55151836265366257897259922581190951e+01Q, 6.06440808776439211617961123881399848e+01Q, 8.19729691748584679772374579308014156e+01Q, 1.12502046808165256396405270593673624e+02Q, 1.56909655284471412314380735570422525e+02Q, 2.22620434786863827630193937721495593e+02Q, 3.21638548950407775497940425181412035e+02Q, 4.73757450594546173931972158718216152e+02Q, 7.12299454814699763671577043536625350e+02Q, 1.09460965268637655307120839628626644e+03Q, 1.72169778917604957594996919520027157e+03Q, 2.77592490925383514631415480161515100e+03Q, 4.59523006626814934713366494475518926e+03Q, 7.82342758664157367197225266771664916e+03Q, 1.37235743526910540538254088034330370e+04Q, 2.48518896164511955326091118611007805e+04Q, 4.65553874542597278270867281925971401e+04Q, 9.04176678213568688399001015321300800e+04Q, 1.82484396486272839208899824313480775e+05Q, 3.83680026409461402659414641247062580e+05Q, 8.42627197024516802563287310497296237e+05Q, 1.93843257415878263434890786889254173e+06Q, 4.68511284935648552770705724295731096e+06Q, 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3.76931518236156669675469780787997744e+388Q, 3.11671991143285521404945273561352902e+413Q, 1.03852445906488241953781523768340610e+440Q, 1.76991068936691550622045923706396857e+468Q, 1.98843278522413458075823481121326426e+498Q, 1.92935688449069146367365017414279935e+530Q, 2.15545898606278242992831028009446695e+564Q, 3.76556572065746315676705102085514331e+600Q, 1.42493629186903074753303377268119903e+639Q, 1.65224172380259971159552714105694350e+680Q, 8.49215944410421946026158352935784666e+723Q, 2.86631893981320588349507785370693896e+770Q, 9.65377141044877270160840903468092119e+819Q, 5.06475979937176267805686278644876593e+872Q, 6.64979079902917739733555562625190968e+928Q, 3.61927525412094487856735509111512169e+988Q, 1.39737404381894022658529893979427383e+1052Q, 6.78018387620311055320186127570560827e+1119Q, 7.59952044103401209205510909410129754e+1191Q, 3.76162862667265940011010617225061429e+1268Q, 1.63904309514033654209643026524489542e+1350Q, 1.31017858257252889370615733020834140e+1437Q, 4.19821396072116298475329351264459339e+1529Q, 1.23923791809549425227491870065845752e+1628Q, 8.17087984671936465200033730232853592e+1732Q, 3.08946915513007963115203650683840400e+1844Q, 1.82761916569338643673217752139790470e+1963Q, 4.92348318803338950087945240543349430e+2089Q, 1.88350835331965060456271693216651123e+2224Q, 3.43360015586068277793841059306542129e+2367Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:469:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] 470 | { 1.57146131655078329437644376888801138e+00Q, 1.57679016631693834484126246342345329e+00Q, 1.58749564037038331646069625234555521e+00Q, 1.60367395634137020950291269057600307e+00Q, 1.62547112545749394267938666988196139e+00Q, 1.65308501191593930171844822364141731e+00Q, 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4.64314397380853725563695225910483395e+1553Q, 7.86772811149376784892131781209226509e+1602Q, 4.86578559687970087801384706555207321e+1653Q, 1.23116054769360594876926981962811083e+1706Q, 1.43383897399728293235616506956599019e+1760Q, 8.67960762728500385489074199138374599e+1815Q, 3.09584788327503858182429306492345781e+1873Q, 7.40514657822678853879551103162851562e+1932Q, 1.35750288266752565171774149402837640e+1994Q, 2.18886955807028168114167639122307268e+2057Q, 3.57839966436010585653478204799948336e+2122Q, 6.86791017358151132323155526430183469e+2189Q, 1.80021943882415618419042799861559854e+2259Q, 7.53312429569410546159363413753399067e+2330Q, 5.91165553375547478649257686857639971e+2404Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:470:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] 471 | { 1.57096255099783261137673508918980377e+00Q, 1.57229290236721196082451564636254803e+00Q, 1.57495658191266675503402671533627186e+00Q, 1.57895955363616398471678434379990522e+00Q, 1.58431078956361430514416599492388597e+00Q, 1.59102230111703510742216272394562613e+00Q, 1.59910918118616033722590556649394763e+00Q, 1.60858965710906746764504456185444654e+00Q, 1.61948515482641974319339137784305225e+00Q, 1.63182037453073931785527493516038124e+00Q, 1.64562337819112567903033806653906069e+00Q, 1.66092568939542410935608828998468834e+00Q, 1.67776240601646371733138779357535047e+00Q, 1.69617232627708297296989766202480515e+00Q, 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4.97552704772088889228035264268694867e+2241Q, 8.94330619882842342247706838649878784e+2276Q, 5.77072420156026800834371478648673792e+2312Q, 1.36388225285320494361282201451878478e+2349Q, 1.20508189950290985406298094670730466e+2386Q, 4.06413362486490272506766749982212198e+2423Q, 5.34308092015215251528601382597439463e+2461Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:471:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:478:4: warning: non-standard suffix on floating constant [-Wpedantic] 478 | m_t_max = 8.88600744303961370002819023592353264e+00Q; | ^~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/rstaninc.hpp:3: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:17, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/shared_ptr.hpp:17, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/date_time/time_clock.hpp:17, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/detail/shared_count.hpp:326:33: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 326 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) | ^~~~~~~~ In file included from /usr/include/c++/14/memory:78, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:7: /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:354:31: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 354 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() | ^~~~~~~~ /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:365:22: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 365 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() | ^~~~~~~~ /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:423:34: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 423 | shared_ptr & operator=( std::auto_ptr & r ) | ^~~~~~~~ /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:430:34: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 430 | shared_ptr & operator=( std::auto_ptr && r ) | ^~~~~~~~ /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function ‘boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:432:38: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 432 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); | ^~~~~~~~ /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from ‘struct Eigen::internal::traits > >’ 19 | template struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase > >’ 42 | typedef typename internal::traits::StorageKind StorageKind; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from ‘class Eigen::SolverBase > >’ 68 | class SolverBase : public EigenBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from ‘class Eigen::LDLT >’ 59 | template class LDLT | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here 46 | if (cholesky.info() != Eigen::Success || !cholesky.isPositive() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from ‘class Eigen::LDLT >’ 69 | MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime, | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here 46 | if (cholesky.info() != Eigen::Success || !cholesky.isPositive() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from ‘class Eigen::LDLT >’ 287 | TmpMatrixType m_temporary; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here 46 | if (cholesky.info() != Eigen::Success || !cholesky.isPositive() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here 47 | || (cholesky.vectorD().array() <= 0.0).any()) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here 47 | || (cholesky.vectorD().array() <= 0.0).any()) { | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here 47 | || (cholesky.vectorD().array() <= 0.0).any()) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here 35 | LLt(m, m) = Lt.col(m).head(k).squaredNorm(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here 35 | LLt(m, m) = Lt.col(m).head(k).squaredNorm(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here 37 | Eigen::VectorXd v = Eigen::VectorXd::LinSpaced(K, low, high); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here 32 | return Eigen::RowVectorXd::LinSpaced(K, low, high); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here 32 | return Eigen::RowVectorXd::LinSpaced(K, low, high); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here 58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2)); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here 58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here 58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here 71 | A.diagonal().array() -= mu; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here 71 | A.diagonal().array() -= mu; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here 86 | bi = (t / (s * (j + 1))) * (A * bi); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here 86 | bi = (t / (s * (j + 1))) * (A * bi); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here 86 | bi = (t / (s * (j + 1))) * (A * bi); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here 106 | return x.cwiseAbs().rowwise().sum().maxCoeff(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here 106 | return x.cwiseAbs().rowwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:178:58: required from here 178 | alpha = Eigen::VectorXd::Constant(_p_max - 1, normA); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:44: required from ‘stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]’ 57 | x, [](const auto& v) { return v.array().ceil(); }); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]’ 47 | f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from ‘auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]’ 56 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 57 | x, [](const auto& v) { return v.array().ceil(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here 197 | Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal(); | ~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:51: required from ‘stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]’ 57 | x, [](const auto& v) { return v.array().ceil(); }); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]’ 47 | f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from ‘auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]’ 56 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 57 | x, [](const auto& v) { return v.array().ceil(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here 197 | Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal(); | ~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 47 | f(x)); | ~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from ‘auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]’ 56 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 57 | x, [](const auto& v) { return v.array().ceil(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here 197 | Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal(); | ~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here 203 | int cost = c.colwise().minCoeff().minCoeff(&m); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here 25 | Eigen::RowVectorXd ret = Eigen::RowVectorXd::Zero(K); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here 13 | : m_(Eigen::VectorXd::Zero(n)), m2_(Eigen::MatrixXd::Zero(n, n)) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here 26 | Eigen::VectorXd delta(q - m_); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here 27 | m_ += delta / num_samples_; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here 27 | m_ += delta / num_samples_; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here 28 | m2_ += (q - m_) * delta.transpose(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here 28 | m2_ += (q - m_) * delta.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here 37 | covar = m2_ / (num_samples_ - 1.0); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here 28 | m2_ += delta.cwiseProduct(q - m_); | ~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/coupled_ode_system.hpp:77:63: required from here 77 | Eigen::Map(dz_dt.data(), dz_dt.size()) = f_y_t; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor.hpp:13: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function ‘void stan::math::internal::combination(std::vector&, const int&, const int&, const int&)’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:73:29: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 73 | for (std::size_t i = 0; i < p - 1; i++) { | ~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:79:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 79 | } while (k < x); | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function ‘void stan::math::internal::combos(const int&, const double&, const int&, std::vector >&)’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:102:29: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 102 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:105:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 105 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function ‘void stan::math::internal::increment(std::vector&, const int&, const double&, const std::vector&, std::vector&)’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:126:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 126 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:132:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 132 | while ((first_zero < index.size()) && index[first_zero]) { | ~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:135:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 135 | if (first_zero == index.size()) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:143:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 143 | for (std::size_t i = 0; i != first_zero + 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function ‘void stan::math::internal::signcombos(const int&, const double&, const int&, std::vector >&)’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:168:29: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 168 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here 40 | coupled_state.size()); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor.hpp:16: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp: At global scope: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/fusion/include/make_fused.hpp:11, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resize.hpp:30, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/get_pointer.hpp:48:40: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:39: required from ‘stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]’ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]’ 93 | return f(x); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]’ 83 | return apply_vector_unary::reduce(x, [&](const auto& v) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 84 | if (v.size() == 0) { | ~~~~~~~~~~~~~~~~~~~~ 85 | return NEGATIVE_INFTY; | ~~~~~~~~~~~~~~~~~~~~~~ 86 | } | ~ 87 | const auto& v_ref = to_ref(v); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 88 | const double max = v_ref.maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 89 | if (!std::isfinite(max)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 90 | return max; | ~~~~~~~~~~~ 91 | } | ~ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 93 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here 59 | double log_sum_y = log_sum_exp(log_y); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from ‘stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]’ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]’ 93 | return f(x); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]’ 83 | return apply_vector_unary::reduce(x, [&](const auto& v) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 84 | if (v.size() == 0) { | ~~~~~~~~~~~~~~~~~~~~ 85 | return NEGATIVE_INFTY; | ~~~~~~~~~~~~~~~~~~~~~~ 86 | } | ~ 87 | const auto& v_ref = to_ref(v); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 88 | const double max = v_ref.maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 89 | if (!std::isfinite(max)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 90 | return max; | ~~~~~~~~~~~ 91 | } | ~ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 93 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here 59 | double log_sum_y = log_sum_exp(log_y); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from ‘stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]’ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]’ 93 | return f(x); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]’ 83 | return apply_vector_unary::reduce(x, [&](const auto& v) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 84 | if (v.size() == 0) { | ~~~~~~~~~~~~~~~~~~~~ 85 | return NEGATIVE_INFTY; | ~~~~~~~~~~~~~~~~~~~~~~ 86 | } | ~ 87 | const auto& v_ref = to_ref(v); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 88 | const double max = v_ref.maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 89 | if (!std::isfinite(max)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 90 | return max; | ~~~~~~~~~~~ 91 | } | ~ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 93 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here 59 | double log_sum_y = log_sum_exp(log_y); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:52: required from ‘stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]’ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]’ 93 | return f(x); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]’ 83 | return apply_vector_unary::reduce(x, [&](const auto& v) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 84 | if (v.size() == 0) { | ~~~~~~~~~~~~~~~~~~~~ 85 | return NEGATIVE_INFTY; | ~~~~~~~~~~~~~~~~~~~~~~ 86 | } | ~ 87 | const auto& v_ref = to_ref(v); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 88 | const double max = v_ref.maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 89 | if (!std::isfinite(max)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 90 | return max; | ~~~~~~~~~~~ 91 | } | ~ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 93 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here 59 | double log_sum_y = log_sum_exp(log_y); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here 38 | Eigen::VectorXd stddev = S_ldlt.vectorD().array().sqrt().matrix(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here 46 | = mu + (S_ldlt.transpositionsP().transpose() * (S_ldlt.matrixL() * z)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here 46 | = mu + (S_ldlt.transpositionsP().transpose() * (S_ldlt.matrixL() * z)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here 135 | Eigen::VectorXd(F.transpose() * theta_t), V_ldlt, rng); | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/hmm_hidden_state_prob.hpp:77:52: required from here 77 | alphas.col(n) = alphas.col(n).cwiseProduct(beta); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:71:73: required from here 71 | probs_vec = alphas.col(n_transitions) / alphas.col(n_transitions).sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here 49 | return L_S.template triangularView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here 49 | return L_S.template triangularView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView >, 2>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:25:32: required from here 25 | S_inv = ldlt_of_S.solve(S_inv); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here 27 | return 0.5 * (asym.transpose() + asym); // ensure symmetry | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here 27 | return 0.5 * (asym.transpose() + asym); // ensure symmetry | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here 27 | return 0.5 * (asym.transpose() + asym); // ensure symmetry | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here 89 | = Sigma_ldlt.vectorD().array().inverse().sqrt().matrix(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here 89 | = Sigma_ldlt.vectorD().array().inverse().sqrt().matrix(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here 109 | (Sigma_ldlt.matrixU().solve(X)).transpose())) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of ‘template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]’ 108 | * (D_ldlt.matrixU().solve( | ~~~~~~~~~~~~~~~~~~~~~~^ 109 | (Sigma_ldlt.matrixU().solve(X)).transpose())) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here 110 | .transpose() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here 110 | .transpose() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here 110 | .transpose() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here 111 | * D_ldlt.transpositionsP()); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here 111 | * D_ldlt.transpositionsP()); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from ‘struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>’ 72 | apply_scalar_unary::apply(std::declval()))>; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from ‘auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]’ 120 | return apply_scalar_unary::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here 39 | lp += lgamma(1 + ns_map.sum()) - lgamma(1 + ns_map).sum(); | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/std_normal_ccdf_log.hpp:5, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob.hpp:328, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim.hpp:16: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/std_normal_lccdf.hpp: In function ‘stan::return_type_t stan::math::std_normal_lccdf(const T_y&)’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/std_normal_lccdf.hpp:52: note: ‘-Wmisleading-indentation’ is disabled from this point onwards, since column-tracking was disabled due to the size of the code/headers 52 | } else if (y_dbl > 8.25) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/std_normal_lccdf.hpp:52: note: adding ‘-flarge-source-files’ will allow for more column-tracking support, at the expense of compilation time and memory /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/dump.hpp: In member function ‘virtual std::vector > stan::io::dump::vals_c(const std::string&) const’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/dump.hpp:694: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 694 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/dump.hpp:707: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 707 | real_iter < val_i->second.first.size(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:102:0: required from here 102 | if (C_adj.size() > 0) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:111:0: required from here 111 | = D_adj.adjoint().template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:116:0: required from here 116 | D_adj.diagonal() *= 0.5; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 281 | template class Ref | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42: required from ‘class Eigen::LLT, 0, Eigen::OuterStride<> >, 1>’ 76 | MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:142:0: required from here 142 | check_pos_definite("cholesky_decompose", "m", L_factor); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0: required from ‘class stan::math::arena_matrix, void>’ 13 | class arena_matrix> /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:144:0: required from here 144 | L_A.template triangularView().setZero(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:42:0: required from here 42 | y_val.row(m).head(m) = x.val().segment(pos, m); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 28 | * arena_L_val.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() 28 | * arena_L_val.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here 94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here 94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here 94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here 94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here 94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: recursively required by substitution of ‘template static std::true_type stan::is_base_pointer_convertible >::f(const Eigen::EigenBase*) [with OtherDerived = ]’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible >’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: required from ‘struct stan::is_eigen >’ 21 | : bool_constant::value> {}; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:301:0: required by substitution of ‘template class stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type> [with T = Eigen::SparseMatrix]’ 301 | (is_eigen::value || is_kernel_expression_and_not_scalar::value) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:120:0: required from here 120 | arena_t res = w_mat_arena.val() * value_of(b_arena); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:129:0: required from ‘class stan::math::arena_matrix, void>’ 129 | class arena_matrix> /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:814:0: required from ‘class stan::math::vari_value, void>’ 814 | using InnerIterator = typename arena_matrix::InnerIterator; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:419:0: required from ‘const auto& stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::val() const [with T = Eigen::SparseMatrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 419 | inline const auto& val() const noexcept { return vi_->val(); } /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:120:0: required from here 120 | arena_t res = w_mat_arena.val() * value_of(b_arena); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:40:0: required from here 40 | arena_t eigenvals = solver.eigenvalues(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:0: required from here 27 | g = x.adj(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:44: required from ‘stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]’ 47 | f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:0: required from here 49 | var log_det = sum(log(M_ldlt.vectorD())); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]’ 47 | f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:0: required from here 49 | var log_det = sum(log(M_ldlt.vectorD())); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 47 | f(x)); | ~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:0: required from here 49 | var log_det = sum(log(M_ldlt.vectorD())); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0: required from ‘class stan::math::arena_matrix, void>’ 13 | class arena_matrix> /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:51:0: required from here 51 | reverse_pass_callback([arena_M, log_det, arena_M_inv_transpose]() mutable { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:0: required from here 73 | vector_d diff = (x_d.array() - x_d.maxCoeff()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:81:0: required from here 81 | Eigen::Map(softmax_x_d_array, a_size) = softmax_x_d.array() / sum; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:50:0: required from here 50 | arena_powers[0] = Eigen::MatrixXd::Identity(N, N); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:53:0: required from here 53 | arena_powers[i] = arena_powers[1] * arena_powers[i - 1]; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:0: required from here 63 | adj_M += adj_C * arena_powers[i - 1].transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:0: required from here 64 | adj_C = M_val.transpose() * adj_C; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:0: required from here 64 | adj_C = M_val.transpose() * adj_C; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:0: required from here 67 | Eigen::Map(variRefB_, M_, N_).adj() += adjB; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:0: required from here 85 | adjA = -adjB * Map(C_, M_, N_).transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:0: required from here 85 | adjA = -adjB * Map(C_, M_, N_).transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:0: required from here 25 | matrix_d M = 0.5 * (Cd + Cd.transpose()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:0: required from here 55 | L.col(0).tail(pull) = CPCs.val().head(pull); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0: required from ‘class stan::math::arena_matrix, void>’ 13 | class arena_matrix> /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:0: required from here 56 | arena_acc.tail(pull) = 1.0 - CPCs.val().head(pull).array().square(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:0: required from here 63 | L.col(i).tail(pull) = cpc_seg * arena_acc.tail(pull).sqrt(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:0: required from here 86 | -= 2.0 * acc_adj.tail(pull) * acc_val.tail(pull) * cpc_seg_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:0: required from here 86 | -= 2.0 * acc_adj.tail(pull) * acc_val.tail(pull) * cpc_seg_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0: required from here 90 | += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0: required from here 90 | += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0: required from here 90 | += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0: required from here 90 | += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:0: required from here 56 | sds.adj() += (prod.adj().cwiseProduct(corr_L.val())).rowwise().sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:41:0: required from here 41 | x.adj() += (2 * res.adj()).asDiagonal() * x.val(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::Stride<0, 0> >, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/svd.hpp:56:0: required from here 56 | arena_Fp.diagonal().setZero(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:0: required from here 69 | * (arena_Fp.array() * (UUadjT - UUadjT.transpose()).array()) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Transpose > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:0: required from here 69 | * (arena_Fp.array() * (UUadjT - UUadjT.transpose()).array()) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:0: required from here 70 | .matrix() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:0: required from here 61 | .matrix() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:0: required from here 61 | .matrix() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 278 | typedef typename DiagonalVectorType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 42 | typedef typename internal::traits::StorageKind StorageKind; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from ‘class Eigen::DiagonalBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 18 | class DiagonalBase : public EigenBase | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from ‘class Eigen::DiagonalWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 293 | class DiagonalWrapper | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:63:0: required from here 63 | + arena_U * arena_D.asDiagonal().inverse() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:0: required from here 79 | vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:0: required from here 79 | vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:0: required from here 79 | vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:0: required from here 80 | v1_map.adj() += di; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:0: required from here 111 | += 2 * adj_ * (v1_map.val() - Eigen::Map(v2_, length_)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:0: required from here 111 | += 2 * adj_ * (v1_map.val() - Eigen::Map(v2_, length_)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:0: required from here 23 | vector_d dtrs_vals = dtrs_map.val(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:0: required from here 25 | vector_d diff = dtrs_vals.array() - dtrs_vals.mean(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:0: required from here 27 | Eigen::Map(partials, size) = 2 * diff.array() / size_m1; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:0: required from here 27 | Eigen::Map(partials, size) = 2 * diff.array() / size_m1; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, Eigen::Matrix, -1, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, Eigen::Matrix, -1, 1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, Eigen::Matrix, -1, 1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >::val_Op, Eigen::Matrix, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1> >::val_Op, Eigen::Matrix, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1> >::val_Op, Eigen::Matrix, -1, 1>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, 1> >::val_Op, Eigen::Matrix, -1, 1> >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/jacobian.hpp:26:0: required from here 26 | fx = fx_var.val(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&):: [with auto:11 = const Eigen::Matrix, -1, 1>]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::; Args = {const Eigen::Matrix, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from ‘auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix, -1, 1>&; stan::require_eigen_dense_base_t* = 0; stan::require_not_st_arithmetic* = 0]’ 73 | return make_holder( | ~~~~~~~~~~~^ 74 | [](auto& a) { | ~~~~~~~~~~~~~ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 76 | }, | ~~ 77 | std::forward(M)); | ~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:0: required from here 101 | y_dummy(stan::math::value_of(y)), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:0: required from here 369 | Eigen::VectorXd eta = -Jf_x_T_lu_ptr->solve(ret.adj().eval()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:0: required from here 369 | Eigen::VectorXd eta = -Jf_x_T_lu_ptr->solve(ret.adj().eval()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/cvodes_integrator_adjoint.hpp:604:0: required from here 604 | f_y_t_vars.adj() = -Eigen::Map(NV_DATA_S(yB), N_); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/finite_diff_hessian_times_vector_auto.hpp:62:0: required from here 62 | hvp = (grad_forward - grad_backward) / (2 * epsilon); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/initialize.hpp:7, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:49: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/random_var_context.hpp: In member function ‘virtual std::vector > stan::io::random_var_context::vals_c(const std::string&) const’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/random_var_context.hpp:111: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (comp_iter = 0, real_iter = 0; real_iter < val_r.size(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:0: required from here 182 | return normal_fullrank(Eigen::VectorXd(mu_.array().square()), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:0: required from here 183 | Eigen::MatrixXd(L_chol_.array().square())); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:0: required from here 197 | return normal_fullrank(Eigen::VectorXd(mu_.array().sqrt()), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:0: required from here 198 | Eigen::MatrixXd(L_chol_.array().sqrt())); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:0: required from here 263 | L_chol_.array() /= rhs.L_chol().array(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:0: required from here 351 | return (L_chol_ * eta) + mu_; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:0: required from here 351 | return (L_chol_ * eta) + mu_; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:0: required from here 459 | L_grad.diagonal().array() += L_chol_.diagonal().array().inverse(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:0: required from here 314 | return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:0: required from here 314 | return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:0: required from here 314 | return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:0: required from here 370 | omega_grad.array() += tmp_mu_grad.array().cwiseProduct(eta.array()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:0: required from here 388 | omega_grad.array() = omega_grad.array().cwiseProduct(omega_.array().exp()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:0: required from here 175 | rho = rho_bck + rho_fwd; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:0: required from here 53 | z.p = z.inv_e_metric_.llt().matrixU().solve(u); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:17: required from ‘auto stan::math::to_matrix(const std::vector&, int, int) [with T = double]’ 133 | return Eigen::Map>( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 134 | &x[0], m, n); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:0: required from here 33 | inv_metric = stan::math::to_matrix(dense_vals, num_params, num_params); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:0: required from here 27 | covar = (n / (n + 5.0)) * covar /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:0: required from here 29 | * Eigen::MatrixXd::Identity(covar.rows(), covar.cols()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:0: required from here 29 | * Eigen::MatrixXd::Identity(covar.rows(), covar.cols()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ 21 | return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: required from here /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:0: required from here 27 | var = (n / (n + 5.0)) * var /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:0: required from here 28 | + 1e-3 * (5.0 / (n + 5.0)) * Eigen::VectorXd::Ones(var.size()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:0: required from here 28 | + 1e-3 * (5.0 / (n + 5.0)) * Eigen::VectorXd::Ones(var.size()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:68: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp: In member function ‘virtual std::vector > stan::io::array_var_context::vals_c(const std::string&) const’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:304: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 304 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:317: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 317 | real_iter < val_i->second.first.size(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:0: required from here 72 | Eigen::Map(&row[0], draws.cols()) = draws.row(i); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0: required from ‘class stan::math::arena_matrix, void>’ 13 | class arena_matrix> /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.hpp:145:0: required from here 145 | x_ret_vals.coeffRef(j) = x.val().coeff(row_idx_val, col_idx_vals[j]); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:28:12: required from ‘auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix; Scal = int; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 28 | return c * m; | ~~^~~ stanExports_stanmarg.h:3508:0: required from here 3508 | stan::math::multiply(stan::math::to_vector(clus_size_ns), N_between)), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/model_header.hpp:11, from stanExports_stanmarg.h:25: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/model_base_crtp.hpp: At global scope: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/model_base_crtp.hpp:159: warning: ‘stan::math::var stan::model::model_base_crtp::log_prob(std::vector, std::allocator > >&, std::vector&, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; stan::math::var = stan::math::var_value; std::ostream = std::basic_ostream]’ was hidden [-Woverloaded-virtual=] 159 | inline math::var log_prob(std::vector& theta, stanExports_stanmarg.h:22489: note: by ‘model_stanmarg_namespace::model_stanmarg::log_prob’ 22489 | log_prob(std::vector& params_r, std::vector& params_i, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/model_base_crtp.hpp:154: warning: ‘double stan::model::model_base_crtp::log_prob(std::vector&, std::vector&, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ was hidden [-Woverloaded-virtual=] 154 | inline double log_prob(std::vector& theta, std::vector& theta_i, stanExports_stanmarg.h:22489: note: by ‘model_stanmarg_namespace::model_stanmarg::log_prob’ 22489 | log_prob(std::vector& params_r, std::vector& params_i, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/model_base_crtp.hpp:96: warning: ‘stan::math::var stan::model::model_base_crtp::log_prob(Eigen::Matrix, -1, 1>&, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; stan::math::var = stan::math::var_value; std::ostream = std::basic_ostream]’ was hidden [-Woverloaded-virtual=] 96 | inline math::var log_prob(Eigen::Matrix& theta, stanExports_stanmarg.h:22489: note: by ‘model_stanmarg_namespace::model_stanmarg::log_prob’ 22489 | log_prob(std::vector& params_r, std::vector& params_i, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/model_base_crtp.hpp:91: warning: ‘double stan::model::model_base_crtp::log_prob(Eigen::VectorXd&, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; Eigen::VectorXd = Eigen::Matrix; std::ostream = std::basic_ostream]’ was hidden [-Woverloaded-virtual=] 91 | inline double log_prob(Eigen::VectorXd& theta, stanExports_stanmarg.h:22489: note: by ‘model_stanmarg_namespace::model_stanmarg::log_prob’ 22489 | log_prob(std::vector& params_r, std::vector& params_i, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = int; Mat = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 84 | return c * m; | ~~^~~ stanExports_stanmarg.h:14328:0: required from here 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:187:0: required from ‘auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = const Eigen::Matrix&; stan::require_vector_t* = 0; stan::require_not_std_vector_t* = 0]’ 187 | return v.segment(slice_start, slice_size); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:697:0: required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, const Idxs& ...) [with StdVec = const std::vector >; Idxs = {index_min_max}; stan::require_std_vector_t* = 0]’ 697 | return rvalue(v[idx1.n_ - 1], name, idxs...); stanExports_stanmarg.h:14486:0: required from here 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:376:0: required from ‘auto stan::model::rvalue(Mat&&, const char*, index_min_max, index_min_max) [with Mat = const Eigen::Matrix&; stan::require_dense_dynamic_t* = 0]’ 376 | return x.block(row_idx.min_ - 1, col_idx.min_ - 1, 377 | row_idx.max_ - (row_idx.min_ - 1), 378 | col_idx.max_ - (col_idx.min_ - 1)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:697:0: required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, const Idxs& ...) [with StdVec = const std::vector >; Idxs = {index_min_max, index_min_max}; stan::require_std_vector_t* = 0]’ 697 | return rvalue(v[idx1.n_ - 1], name, idxs...); stanExports_stanmarg.h:14491:0: required from here 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:158:0: required from ‘stan::model::rvalue&>(const Eigen::Matrix&, const char*, const index_multi&):: [with auto:767 = const Eigen::Matrix]’ 158 | return plain_type_t::NullaryExpr( 159 | idx.ns_.size(), [name, &idx, &v_ref](Eigen::Index i) { 160 | math::check_range("vector[multi] indexing", name, v_ref.size(), 161 | idx.ns_[i]); 162 | return v_ref.coeff(idx.ns_[i] - 1); 163 | }); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::model::rvalue&>(const Eigen::Matrix&, const char*, const index_multi&)::; Args = {const Eigen::Matrix&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:156:0: required from ‘auto stan::model::rvalue(EigVec&&, const char*, const index_multi&) [with EigVec = const Eigen::Matrix&; stan::require_eigen_vector_t* = 0]’ 156 | return stan::math::make_holder( 157 | [name, &idx](auto& v_ref) { 158 | return plain_type_t::NullaryExpr( 159 | idx.ns_.size(), [name, &idx, &v_ref](Eigen::Index i) { 160 | math::check_range("vector[multi] indexing", name, v_ref.size(), 161 | idx.ns_[i]); 162 | return v_ref.coeff(idx.ns_[i] - 1); 163 | }); 164 | }, 165 | stan::math::to_ref(v)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:697:0: required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, const Idxs& ...) [with StdVec = const std::vector >; Idxs = {index_multi}; stan::require_std_vector_t* = 0]’ 697 | return rvalue(v[idx1.n_ - 1], name, idxs...); stanExports_stanmarg.h:14526:0: required from here 14526 | stan::model::rvalue(YXbarstar, "YXbarstar", 14527 | stan::model::index_uni(mm), 14528 | stan::model::index_multi( 14529 | stan::model::rvalue(xdatidx, "xdatidx", 14530 | stan::model::index_min_max(1, 14531 | stan::model::rvalue(Nx, "Nx", 14532 | stan::model::index_uni(mm)))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lb_constrain.hpp:102:18: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; L = int; stan::require_eigen_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_all_not_st_var* = 0; stan::return_type_t = double]’ 102 | x.unaryExpr([lb, &lp](auto&& xx) { return lb_constrain(xx, lb, lp); })); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix; bool Jacobian = false; LB = int; LP = double; Sizes = {int}; T = double]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:14992:0: required from here 14991 | Theta_sd_free = in__.template read_constrain_lb< 14992 | Eigen::Matrix, jacobian__>(0, 14993 | lp__, Theta_sd_free_1dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map, 0, Eigen::Stride<0, 0> >&&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map, 0, Eigen::Stride<0, 0> >&&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map, 0, Eigen::Stride<0, 0> >&&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map, 0, Eigen::Stride<0, 0> >&&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map, 0, Eigen::Stride<0, 0> >&&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lb_constrain.hpp:83:26: required from ‘auto stan::math::lb_constrain(T&&, L&&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; L = const int&; stan::require_eigen_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_all_not_st_var* = 0]’ 83 | return eval(x.unaryExpr([lb](auto&& x) { return lb_constrain(x, lb); })); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:388:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix; bool Jacobian = false; LB = int; LP = double; Sizes = {int}; T = double]’ 388 | return stan::math::lb_constrain(this->read(sizes...), lb); stanExports_stanmarg.h:14992:0: required from here 14991 | Theta_sd_free = in__.template read_constrain_lb< 14992 | Eigen::Matrix, jacobian__>(0, 14993 | lp__, Theta_sd_free_1dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_constrain.hpp:133:26: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_eigen_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_not_var_t::type>* = 0; stan::return_type_t = double]’ 133 | return eval(x.unaryExpr( | ~~~~~~~~~~~^ 134 | [lb, ub, &lp](auto&& xx) { return lub_constrain(xx, lb, ub, lp); })); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix; bool Jacobian = false; LB = int; UB = int; LP = double; Sizes = {int}; T = double]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:14999:0: required from here 14998 | Theta_r_free = in__.template read_constrain_lub< 14999 | Eigen::Matrix, jacobian__>(-1, 15000 | 1, lp__, Theta_r_free_1dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_constrain.hpp:122:18: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_eigen_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_not_var_t::type>* = 0]’ 122 | x.unaryExpr([ub, lb](auto&& xx) { return lub_constrain(xx, lb, ub); })); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:443:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix; bool Jacobian = false; LB = int; UB = int; LP = double; Sizes = {int}; T = double]’ 443 | return stan::math::lub_constrain(this->read(sizes...), lb, ub); stanExports_stanmarg.h:14999:0: required from here 14998 | Theta_r_free = in__.template read_constrain_lub< 14999 | Eigen::Matrix, jacobian__>(-1, 15000 | 1, lp__, Theta_r_free_1dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:15526:0: required from here 15526 | stan::math::add( 15527 | stan::model::rvalue(T_r_lower, "T_r_lower", 15528 | stan::model::index_uni(g)), 15529 | stan::math::transpose( 15530 | stan::model::rvalue(T_r_lower, "T_r_lower", 15531 | stan::model::index_uni(g)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:15525:0: required from here 15525 | stan::math::subtract( 15526 | stan::math::add( 15527 | stan::model::rvalue(T_r_lower, "T_r_lower", 15528 | stan::model::index_uni(g)), 15529 | stan::math::transpose( 15530 | stan::model::rvalue(T_r_lower, "T_r_lower", 15531 | stan::model::index_uni(g)))), 15532 | stan::math::diag_matrix(stan::math::rep_vector(1, p))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:15739:0: required from here 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:15780:0: required from here 15780 | stan::math::add( 15781 | stan::model::deep_copy( 15782 | stan::model::rvalue(Sigma, "Sigma", 15783 | stan::model::index_uni(g), 15784 | stan::model::index_min_max(1, p), 15785 | stan::model::index_min_max(1, p))), 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:187:0: required from ‘auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = Eigen::Matrix&; stan::require_vector_t* = 0; stan::require_not_std_vector_t* = 0]’ 187 | return v.segment(slice_start, slice_size); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:697:0: required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, const Idxs& ...) [with StdVec = std::vector >; Idxs = {index_min_max}; stan::require_std_vector_t* = 0]’ 697 | return rvalue(v[idx1.n_ - 1], name, idxs...); stanExports_stanmarg.h:15800:0: required from here 15800 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(g), 15801 | stan::model::index_min_max(1, p))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::VectorBlock, -1, 1, true>, -1>; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]’ 107 | return m1 * m2; | ~~~^~~~ stanExports_stanmarg.h:15803:0: required from here 15803 | stan::math::multiply( 15804 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15805 | stan::model::index_uni(g)), 15806 | stan::model::rvalue(Alpha, "Alpha", 15807 | stan::model::index_uni(g), 15808 | stan::model::index_min_max(1, m), 15809 | stan::model::index_uni(1))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:17365:0: required from here 17365 | stan::math::add( 17366 | stan::model::deep_copy( 17367 | stan::model::rvalue(S_PW_rep_full, "S_PW_rep_full", 17368 | stan::model::index_uni(gg))), 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:17381:0: required from here 17381 | stan::math::add( 17382 | stan::model::deep_copy( 17383 | stan::model::rvalue(S_B_rep, "S_B_rep", 17384 | stan::model::index_uni(gg))), 17385 | stan::math::multiply( 17386 | stan::model::rvalue(cluster_size, "cluster_size", 17387 | stan::model::index_uni(clusidx)), 17388 | stan::math::tcrossprod( 17389 | stan::math::to_matrix( 17390 | stan::math::subtract( 17391 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17392 | stan::model::index_uni(clusidx)), 17393 | stan::model::rvalue(ov_mean_rep, "ov_mean_rep", 17394 | stan::model::index_uni(gg))))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:158:0: required from ‘stan::model::rvalue&>(Eigen::Matrix&, const char*, const index_multi&):: [with auto:767 = Eigen::Matrix]’ 158 | return plain_type_t::NullaryExpr( 159 | idx.ns_.size(), [name, &idx, &v_ref](Eigen::Index i) { 160 | math::check_range("vector[multi] indexing", name, v_ref.size(), 161 | idx.ns_[i]); 162 | return v_ref.coeff(idx.ns_[i] - 1); 163 | }); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::model::rvalue&>(Eigen::Matrix&, const char*, const index_multi&)::; Args = {Eigen::Matrix&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:156:0: required from ‘auto stan::model::rvalue(EigVec&&, const char*, const index_multi&) [with EigVec = Eigen::Matrix&; stan::require_eigen_vector_t* = 0]’ 156 | return stan::math::make_holder( 157 | [name, &idx](auto& v_ref) { 158 | return plain_type_t::NullaryExpr( 159 | idx.ns_.size(), [name, &idx, &v_ref](Eigen::Index i) { 160 | math::check_range("vector[multi] indexing", name, v_ref.size(), 161 | idx.ns_[i]); 162 | return v_ref.coeff(idx.ns_[i] - 1); 163 | }); 164 | }, 165 | stan::math::to_ref(v)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:697:0: required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, const Idxs& ...) [with StdVec = std::vector >; Idxs = {index_multi}; stan::require_std_vector_t* = 0]’ 697 | return rvalue(v[idx1.n_ - 1], name, idxs...); stanExports_stanmarg.h:17407:0: required from here 17407 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17408 | stan::model::index_uni(clusidx), 17409 | stan::model::index_multi( 17410 | stan::model::rvalue(between_idx, 17411 | "between_idx", 17412 | stan::model::index_min_max(1, N_between)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; Mat2 = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:17406:0: required from here 17406 | stan::math::subtract( 17407 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17408 | stan::model::index_uni(clusidx), 17409 | stan::model::index_multi( 17410 | stan::model::rvalue(between_idx, 17411 | "between_idx", 17412 | stan::model::index_min_max(1, N_between)))), 17413 | stan::model::rvalue(xbar_b_rep, "xbar_b_rep", 17414 | stan::model::index_uni(gg), 17415 | stan::model::index_multi( 17416 | stan::model::rvalue(between_idx, 17417 | "between_idx", 17418 | stan::model::index_min_max(1, N_between)))))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:17592:0: required from here 17592 | stan::math::subtract( 17593 | stan::model::rvalue(S_B_rep, "S_B_rep", 17594 | stan::model::index_uni(gg)), 17595 | stan::model::rvalue(S_PW_rep_full, "S_PW_rep_full", 17596 | stan::model::index_uni(gg)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 84 | return c * m; | ~~^~~ stanExports_stanmarg.h:17588:0: required from here 17588 | stan::math::multiply( 17589 | stan::math::pow( 17590 | stan::model::rvalue(gs, "gs", 17591 | stan::model::index_uni(gg)), -1), 17592 | stan::math::subtract( 17593 | stan::model::rvalue(S_B_rep, "S_B_rep", 17594 | stan::model::index_uni(gg)), 17595 | stan::model::rvalue(S_PW_rep_full, "S_PW_rep_full", 17596 | stan::model::index_uni(gg)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, -1, 1, true>&>(const Eigen::Block, -1, 1, true>&):: [with auto:13 = const Eigen::Block, -1, 1, true>]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, -1, 1, true>&>(const Eigen::Block, -1, 1, true>&)::; Args = {const Eigen::Block, -1, 1, true>&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: required from ‘auto stan::math::as_array_or_scalar(T&&) [with T = const Eigen::Block, -1, 1, true>&; = void; stan::require_not_eigen_array_t* = 0]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:29: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Block, -1, 1, true>; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~^~~ stanExports_stanmarg.h:17872:0: required from here 17872 | stan::math::divide( 17873 | stan::model::rvalue(satout, "satout", 17874 | stan::model::index_uni(g), 17875 | stan::model::index_omni(), 17876 | stan::model::index_uni(1)), 17877 | stan::model::rvalue(N, "N", stan::model::index_uni(g))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Block, -1, 1, true>; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17872:0: required from here 17872 | stan::math::divide( 17873 | stan::model::rvalue(satout, "satout", 17874 | stan::model::index_uni(g), 17875 | stan::model::index_omni(), 17876 | stan::model::index_uni(1)), 17877 | stan::model::rvalue(N, "N", stan::model::index_uni(g))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Block, -1, 1, true>; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:17872:0: required from here 17872 | stan::math::divide( 17873 | stan::model::rvalue(satout, "satout", 17874 | stan::model::index_uni(g), 17875 | stan::model::index_omni(), 17876 | stan::model::index_uni(1)), 17877 | stan::model::rvalue(N, "N", stan::model::index_uni(g))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:661:0: required from ‘auto stan::model::rvalue(Mat&&, const char*, const Idx&, index_min_max) [with Mat = Eigen::Matrix&; Idx = index_omni; stan::require_dense_dynamic_t* = 0]’ 661 | return rvalue(x.middleCols(col_start, col_idx.max_ - col_start), name, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:697:0: required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, const Idxs& ...) [with StdVec = std::vector >; Idxs = {index_omni, index_min_max}; stan::require_std_vector_t* = 0]’ 697 | return rvalue(v[idx1.n_ - 1], name, idxs...); stanExports_stanmarg.h:17883:0: required from here 17883 | stan::model::rvalue(satout, "satout", 17884 | stan::model::index_uni(g), 17885 | stan::model::index_omni(), 17886 | stan::model::index_min_max(2, ((p + q) + 1))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, -1, -1, true>&>(const Eigen::Block, -1, -1, true>&):: [with auto:13 = const Eigen::Block, -1, -1, true>]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, -1, -1, true>&>(const Eigen::Block, -1, -1, true>&)::; Args = {const Eigen::Block, -1, -1, true>&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: required from ‘auto stan::math::as_array_or_scalar(T&&) [with T = const Eigen::Block, -1, -1, true>&; = void; stan::require_not_eigen_array_t* = 0]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:29: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Block, -1, -1, true>; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~^~~ stanExports_stanmarg.h:17882:0: required from here 17882 | stan::math::divide( 17883 | stan::model::rvalue(satout, "satout", 17884 | stan::model::index_uni(g), 17885 | stan::model::index_omni(), 17886 | stan::model::index_min_max(2, ((p + q) + 1))), 17887 | stan::model::rvalue(N, "N", 17888 | stan::model::index_uni(g))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Block, -1, -1, true>; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17882:0: required from here 17882 | stan::math::divide( 17883 | stan::model::rvalue(satout, "satout", 17884 | stan::model::index_uni(g), 17885 | stan::model::index_omni(), 17886 | stan::model::index_min_max(2, ((p + q) + 1))), 17887 | stan::model::rvalue(N, "N", 17888 | stan::model::index_uni(g))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Block, -1, -1, true>; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:17882:0: required from here 17882 | stan::math::divide( 17883 | stan::model::rvalue(satout, "satout", 17884 | stan::model::index_uni(g), 17885 | stan::model::index_omni(), 17886 | stan::model::index_min_max(2, ((p + q) + 1))), 17887 | stan::model::rvalue(N, "N", 17888 | stan::model::index_uni(g))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/transpose.hpp:18:21: required from ‘auto stan::math::transpose(const T&) [with T = Eigen::Matrix; stan::require_matrix_t* = 0]’ 18 | return m.transpose(); | ~~~~~~~~~~~^~ stanExports_stanmarg.h:17892:0: required from here 17892 | stan::math::transpose( 17893 | stan::model::rvalue(Mu_sat, "Mu_sat", 17894 | stan::model::index_uni(g))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Transpose >; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]’ 107 | return m1 * m2; | ~~~^~~~ stanExports_stanmarg.h:17889:0: required from here 17889 | stan::math::multiply( 17890 | stan::model::rvalue(Mu_sat, "Mu_sat", 17891 | stan::model::index_uni(g)), 17892 | stan::math::transpose( 17893 | stan::model::rvalue(Mu_sat, "Mu_sat", 17894 | stan::model::index_uni(g))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::Product, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::Product, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::Product, Eigen::Transpose >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Mat2 = Eigen::Product, Eigen::Transpose >, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:17881:0: required from here 17881 | stan::math::subtract( 17882 | stan::math::divide( 17883 | stan::model::rvalue(satout, "satout", 17884 | stan::model::index_uni(g), 17885 | stan::model::index_omni(), 17886 | stan::model::index_min_max(2, ((p + q) + 1))), 17887 | stan::model::rvalue(N, "N", 17888 | stan::model::index_uni(g))), 17889 | stan::math::multiply( 17890 | stan::model::rvalue(Mu_sat, "Mu_sat", 17891 | stan::model::index_uni(g)), 17892 | stan::math::transpose( 17893 | stan::model::rvalue(Mu_sat, "Mu_sat", 17894 | stan::model::index_uni(g))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/transpose.hpp:18:21: required from ‘auto stan::math::transpose(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; stan::require_matrix_t* = 0]’ 18 | return m.transpose(); | ~~~~~~~~~~~^~ stanExports_stanmarg.h:18015:0: required from here 18015 | stan::math::transpose( 18016 | stan::math::subtract( 18017 | stan::model::rvalue(YXstar, "YXstar", 18018 | stan::model::index_uni(jj)), 18019 | stan::model::rvalue(Mu_sat, "Mu_sat", 18020 | stan::model::index_uni(grpidx)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Matrix; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), 18037 | stan::model::rvalue(N, "N", 18038 | stan::model::index_uni(grpidx))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Matrix; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), 18037 | stan::model::rvalue(N, "N", 18038 | stan::model::index_uni(grpidx))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:187:0: required from ‘auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; stan::require_vector_t* = 0; stan::require_not_std_vector_t* = 0]’ 187 | return v.segment(slice_start, slice_size); stanExports_stanmarg.h:18218:0: required from here 18218 | stan::model::rvalue(log_lik_x_full, "log_lik_x_full", 18219 | stan::model::index_min_max(r1, r2))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:18214:0: required from here 18214 | stan::math::subtract( 18215 | stan::model::deep_copy( 18216 | stan::model::rvalue(log_lik, "log_lik", 18217 | stan::model::index_min_max(r1, r2))), 18218 | stan::model::rvalue(log_lik_x_full, "log_lik_x_full", 18219 | stan::model::index_min_max(r1, r2))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:18705:0: required from here 18705 | stan::math::subtract( 18706 | stan::model::deep_copy( 18707 | stan::model::rvalue(log_lik_rep, "log_lik_rep", 18708 | stan::model::index_min_max(rr1, rr2))), 18709 | stan::model::rvalue(log_lik_x_rep, "log_lik_x_rep", 18710 | stan::model::index_min_max(rr1, rr2))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 28 | ArrayAT a_array = as_array_or_scalar(a); | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 28 | ArrayAT a_array = as_array_or_scalar(a); | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar&>(const std::vector&)::; Args = {const std::vector >&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:72:21: required from ‘auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector&; stan::require_std_vector_t* = 0; stan::require_not_std_vector_t::type>* = 0]’ 72 | return make_holder([](auto& x) { return T_map(x.data(), x.size()); }, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 73 | std::forward(v)); | ~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:39: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 28 | ArrayAT a_array = as_array_or_scalar(a); | ~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:43: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 47 | const auto& abs_apk = math::fabs((apk == 0).select(1.0, apk)); | ~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >’ 52 | class Select : public internal::dense_xpr_base< Select >::type, | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:55: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 47 | const auto& abs_apk = math::fabs((apk == 0).select(1.0, apk)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/fabs.hpp:67:50: required from ‘stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&):: [with auto:9 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]’ 67 | x, [](const auto& v) { return v.array().abs(); }); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&)::; T2 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_t::type> >* = 0; T = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]’ 53 | return make_holder([](const auto& a) { return a.array().derived(); }, f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/fabs.hpp:66:46: required from ‘auto stan::math::fabs(const Container&) [with Container = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_container_st* = 0]’ 66 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 67 | x, [](const auto& v) { return v.array().abs(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:37: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 47 | const auto& abs_apk = math::fabs((apk == 0).select(1.0, apk)); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&):: [with auto:169 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&)::; T2 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_t::type> >* = 0; T = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]’ 53 | return make_holder([](const auto& a) { return a.array().derived(); }, f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:49:25: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 49 | T_return p = sum(log(abs_apk)) - sum(log(abs_bpk)); | ~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75: required from ‘stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]’ 58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:0: required from here 16 | : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {} /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32: required from ‘stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]’ 58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2)); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:0: required from here 16 | : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {} /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from ‘struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>’ 72 | apply_scalar_unary::apply(std::declval()))>; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from ‘auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]’ 120 | return apply_scalar_unary::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29: required from ‘stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]’ 58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2)); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:0: required from here 16 | : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {} /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:0: required from here 28 | double variance = diff.squaredNorm() / size_m1; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]’ 27 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:0: required from here 280 | L_chol_.array() += scalar; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]’ 27 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:0: required from here 280 | L_chol_.array() += scalar; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of ‘std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:97:0: required from here 97 | std::vector dim_vec = validate_dims(names, values.size(), dims); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:74: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 74 | for (int i = 0; i < dims.size(); i++) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of ‘std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:118:0: required from here 118 | std::vector dim_vec = validate_dims(names, values.size(), dims); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:74: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 74 | for (int i = 0; i < dims.size(); i++) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:27: required from ‘stan::math::value_of_rec, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&):: [with auto:1 = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 110 | return m.unaryExpr([](auto x) { return value_of_rec(x); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of_rec, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::; Args = {Eigen::Map, 0, Eigen::Stride<0, 0> >}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:108:21: required from ‘auto stan::math::value_of_rec(T&&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; = void; = void]’ 108 | return make_holder( | ~~~~~~~~~~~^ 109 | [](auto& m) { | ~~~~~~~~~~~~~ 110 | return m.unaryExpr([](auto x) { return value_of_rec(x); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | }, | ~~ 112 | std::forward(M)); | ~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_greater_or_equal.hpp:157:30: required from ‘void stan::math::check_greater_or_equal(const char*, const char*, const T_y&, const T_low&, Idxs ...) [with T_y = std::vector; T_low = int; stan::require_vector_t* = 0; stan::require_not_std_vector_vt* = 0; stan::require_stan_scalar_t* = 0; Idxs = {}]’ 157 | auto&& y_arr = value_of_rec(as_array_or_scalar(to_ref(y))); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:5537:0: required from here 5537 | stan::math::check_greater_or_equal(function__, "N", N, 1); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tanh.hpp:59:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tanh.hpp:58:46: required from ‘auto stan::math::tanh(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]’ 58 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 59 | x, [](const auto& v) { return v.array().tanh(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_constrain.hpp:47:34: required from ‘auto stan::math::corr_constrain(const T_x&, T_lp&) [with T_x = Eigen::Map, 0, Eigen::Stride<0, 0> >; T_lp = double]’ 47 | plain_type_t tanh_x = tanh(x); | ~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:41: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tanh.hpp:59:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tanh.hpp:58:46: required from ‘auto stan::math::tanh(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]’ 58 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 59 | x, [](const auto& v) { return v.array().tanh(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_constrain.hpp:47:34: required from ‘auto stan::math::corr_constrain(const T_x&, T_lp&) [with T_x = Eigen::Map, 0, Eigen::Stride<0, 0> >; T_lp = double]’ 47 | plain_type_t tanh_x = tanh(x); | ~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:41: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary, 0, Eigen::Stride<0, 0> >, void>::apply, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const stan::math::tanh, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tanh.hpp:58:46: required from ‘auto stan::math::tanh(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]’ 58 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 59 | x, [](const auto& v) { return v.array().tanh(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_constrain.hpp:47:34: required from ‘auto stan::math::corr_constrain(const T_x&, T_lp&) [with T_x = Eigen::Map, 0, Eigen::Stride<0, 0> >; T_lp = double]’ 47 | plain_type_t tanh_x = tanh(x); | ~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:41: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::square >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/square.hpp:69:46: required from ‘auto stan::math::square(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0]’ 69 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 70 | x, [](const auto& v) { return v.array().square(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_constrain.hpp:48:25: required from ‘auto stan::math::corr_constrain(const T_x&, T_lp&) [with T_x = Eigen::Map, 0, Eigen::Stride<0, 0> >; T_lp = double]’ 48 | lp += sum(log1m(square(tanh_x))); | ~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:41: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, void>::apply(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >&)::, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >, void>::apply(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >&)::, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > >, void>::apply(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >&)::, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper > > >, void>::apply(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >&)::, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, void>::apply(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >&)::, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log1m.hpp:74:49: required from ‘auto stan::math::log1m(const T&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; stan::require_not_var_matrix_t* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]’ 74 | return apply_scalar_unary::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_constrain.hpp:48:18: required from ‘auto stan::math::corr_constrain(const T_x&, T_lp&) [with T_x = Eigen::Map, 0, Eigen::Stride<0, 0> >; T_lp = double]’ 48 | lp += sum(log1m(square(tanh_x))); | ~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:41: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ stanExports_stanmarg.h: In instantiation of ‘void model_stanmarg_namespace::model_stanmarg::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]’: stanExports_stanmarg.h:22517:0: required from here 22517 | unconstrain_array_impl(params_constrained, params_i, 22518 | params_unconstrained, pstream); stanExports_stanmarg.h:19334: warning: variable ‘pos__’ set but not used [-Wunused-but-set-variable] 19334 | int pos__ = std::numeric_limits::min(); stanExports_stanmarg.h: In instantiation of ‘void model_stanmarg_namespace::model_stanmarg::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = Eigen::Matrix; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]’: stanExports_stanmarg.h:22527:0: required from here 22527 | unconstrain_array_impl(params_constrained, params_i, 22528 | params_unconstrained, pstream); stanExports_stanmarg.h:19334: warning: variable ‘pos__’ set but not used [-Wunused-but-set-variable] 19334 | int pos__ = std::numeric_limits::min(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp: In instantiation of ‘SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’: stanExports_stanmarg.cc:30:0: required from here 30 | .method("standalone_gqs", &rstan::stan_fit ::standalone_gqs) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1252: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1252 | int ret = stan::services::error_codes::CONFIG; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from ‘stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]’ 181 | Eigen::Matrix a_args(2); | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from ‘stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]’ 181 | Eigen::Matrix a_args(2); | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from ‘stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]’ 182 | Eigen::Matrix b_args(1); | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from ‘TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 117 | inner_diff = g_current.array().abs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 204 | grad_tuple_ab = grad_2F1_impl_ab( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 205 | a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]’ 102 | result << A.template cast(), B; | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 29 | ArrayBT b_array = append_row(as_array_or_scalar(b), 1.0); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err.hpp:4, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim.hpp:12: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:0: required from here 47 | stan::math::check_not_nan(function, "Mean vector", mu); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit))))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:0: required from here 74 | stan::math::check_not_nan(function, "Cholesky factor", L_chol); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | y, "finite"); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:0: required from here 21 | stan::math::check_finite("check_finite", "inv_metric", inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from ‘void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 29 | elementwise_check([](double x) { return x > 0; }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | "positive"); | ~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:0: required from here 22 | stan::math::check_positive("check_positive", "inv_metric", inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from ‘bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ 142 | return !((derived().array()==derived().array()).all()); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from ‘bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]’ 156 | return !((derived()-derived()).hasNaN()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:0: required from here 31 | if (!covar.allFinite()) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from ‘bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ 142 | return !((derived().array()==derived().array()).all()); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from ‘bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]’ 156 | return !((derived()-derived()).hasNaN()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:0: required from here 30 | if (!var.allFinite()) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta.hpp:70, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/core.hpp:4, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim.hpp:10: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of ‘void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&, Idxs ...) [with T_y = long unsigned int; T_high = long int; stan::require_all_stan_scalar_t* = 0; Idxs = {}]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:79:0: required from ‘std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long int]’ 79 | stan::math::check_less_or_equal("validate_dims", "array_var_context", 80 | elem_dims_total[dims.size()], array_size); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:118:0: required from here 118 | std::vector dim_vec = validate_dims(names, values.size(), dims); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:39:20: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const long int’ [-Wsign-compare] 39 | if (unlikely(!(y <= high))) { | ~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/compiler_attributes.hpp:9:41: note: in definition of macro ‘unlikely’ 9 | #define unlikely(x) __builtin_expect(!!(x), 0) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:79:21: required from ‘auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix; Scal = int; stan::require_eigen_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_all_not_st_var* = 0]’ 79 | return (m.array() - c).matrix(); | ~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:29: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix&; L = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 37 | return eval(log(subtract(std::forward(y_ref), | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | std::forward(lb_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer::write_free_lb(const L&, const S&) [with S = Eigen::Matrix; L = int; T = double]’ 253 | this->write(stan::math::lb_free(x, lb)); stanExports_stanmarg.h:19873:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19873 | out__.write_free_lb(0, Theta_sd_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:79:32: required from ‘auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix; Scal = int; stan::require_eigen_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_all_not_st_var* = 0]’ 79 | return (m.array() - c).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:29: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix&; L = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 37 | return eval(log(subtract(std::forward(y_ref), | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | std::forward(lb_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer::write_free_lb(const L&, const S&) [with S = Eigen::Matrix; L = int; T = double]’ 253 | this->write(stan::math::lb_free(x, lb)); stanExports_stanmarg.h:19873:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19873 | out__.write_free_lb(0, Theta_sd_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:44: required from ‘stan::math::log, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: [with auto:169 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; T2 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_t::type> >* = 0; T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]’ 47 | f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:20: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix&; L = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 37 | return eval(log(subtract(std::forward(y_ref), | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | std::forward(lb_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer::write_free_lb(const L&, const S&) [with S = Eigen::Matrix; L = int; T = double]’ 253 | this->write(stan::math::lb_free(x, lb)); stanExports_stanmarg.h:19873:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19873 | out__.write_free_lb(0, Theta_sd_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: [with auto:169 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; T2 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_t::type> >* = 0; T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]’ 47 | f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:20: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix&; L = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 37 | return eval(log(subtract(std::forward(y_ref), | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | std::forward(lb_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer::write_free_lb(const L&, const S&) [with S = Eigen::Matrix; L = int; T = double]’ 253 | this->write(stan::math::lb_free(x, lb)); stanExports_stanmarg.h:19873:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19873 | out__.write_free_lb(0, Theta_sd_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&, const stan::math::log, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&, const stan::math::log, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; T2 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_t::type> >* = 0; T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 47 | f(x)); | ~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:20: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix&; L = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 37 | return eval(log(subtract(std::forward(y_ref), | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | std::forward(lb_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer::write_free_lb(const L&, const S&) [with S = Eigen::Matrix; L = int; T = double]’ 253 | this->write(stan::math::lb_free(x, lb)); stanExports_stanmarg.h:19873:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19873 | out__.write_free_lb(0, Theta_sd_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:62:13: required from ‘auto stan::math::subtract(Scal, const Mat&) [with Scal = int; Mat = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 62 | return (c - m.array()).matrix(); | ~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ub_free.hpp:43:29: required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 43 | return eval(log(subtract(std::forward(ub_ref), | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | std::forward(y_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:54:19: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 54 | return ub_free(identity_free(y, lb), ub); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19892:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19892 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:62:32: required from ‘auto stan::math::subtract(Scal, const Mat&) [with Scal = int; Mat = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 62 | return (c - m.array()).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ub_free.hpp:43:29: required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 43 | return eval(log(subtract(std::forward(ub_ref), | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | std::forward(y_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:54:19: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 54 | return ub_free(identity_free(y, lb), ub); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19892:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19892 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:44: required from ‘stan::math::log, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >(const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >&):: [with auto:169 = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >(const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >&)::; T2 = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; stan::require_t::type> >* = 0; T = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]’ 47 | f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ub_free.hpp:43:20: required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 43 | return eval(log(subtract(std::forward(ub_ref), | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | std::forward(y_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:54:19: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 54 | return ub_free(identity_free(y, lb), ub); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19892:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19892 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ub_free.hpp:43:20: required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 43 | return eval(log(subtract(std::forward(ub_ref), | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | std::forward(y_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:54:19: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 54 | return ub_free(identity_free(y, lb), ub); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19892:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19892 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, void>::apply, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >(const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >&):: >(const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >&, const stan::math::log, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >(const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ub_free.hpp:43:20: required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 43 | return eval(log(subtract(std::forward(ub_ref), | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | std::forward(y_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:54:19: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 54 | return ub_free(identity_free(y, lb), ub); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19892:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19892 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; T2 = double; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:59:29: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 59 | return eval(logit(divide(subtract(std::forward(y_ref), lb), | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 60 | subtract(ub, lb)))); | ~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19892:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19892 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; T2 = double; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:59:29: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 59 | return eval(logit(divide(subtract(std::forward(y_ref), lb), | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 60 | subtract(ub, lb)))); | ~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19892:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19892 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/logit.hpp:113:51: required from ‘stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):::: [with auto:341 = Eigen::Matrix]’ 113 | [](const auto& v) { return (v.array() / (1 - v.array())).log(); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; Args = {Eigen::Matrix}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21: required from ‘auto stan::math::logit(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]’ 109 | return make_holder( | ~~~~~~~~~~~^ 110 | [](const auto& v_ref) { | ~~~~~~~~~~~~~~~~~~~~~~~ 111 | return apply_vector_unary>::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | v_ref, | ~~~~~~ 113 | [](const auto& v) { return (v.array() / (1 - v.array())).log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | }, | ~~ 115 | to_ref(x)); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:59:22: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 59 | return eval(logit(divide(subtract(std::forward(y_ref), lb), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 60 | subtract(ub, lb)))); | ~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19892:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19892 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/logit.hpp:113:73: required from ‘stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):::: [with auto:341 = Eigen::Matrix]’ 113 | [](const auto& v) { return (v.array() / (1 - v.array())).log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; Args = {Eigen::Matrix}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21: required from ‘auto stan::math::logit(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]’ 109 | return make_holder( | ~~~~~~~~~~~^ 110 | [](const auto& v_ref) { | ~~~~~~~~~~~~~~~~~~~~~~~ 111 | return apply_vector_unary>::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | v_ref, | ~~~~~~ 113 | [](const auto& v) { return (v.array() / (1 - v.array())).log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | }, | ~~ 115 | to_ref(x)); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:59:22: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 59 | return eval(logit(divide(subtract(std::forward(y_ref), lb), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 60 | subtract(ub, lb)))); | ~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19892:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19892 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary, void>::apply, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):::: >(const Eigen::Matrix&, const stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):::: >(const Eigen::Matrix&, const stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; Args = {Eigen::Matrix}; stan::require_plain_type_t()((declval)()...))>* = ]’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21: required from ‘auto stan::math::logit(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]’ 109 | return make_holder( | ~~~~~~~~~~~^ 110 | [](const auto& v_ref) { | ~~~~~~~~~~~~~~~~~~~~~~~ 111 | return apply_vector_unary>::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | v_ref, | ~~~~~~ 113 | [](const auto& v) { return (v.array() / (1 - v.array())).log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | }, | ~~ 115 | to_ref(x)); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:59:22: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 59 | return eval(logit(divide(subtract(std::forward(y_ref), lb), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 60 | subtract(ub, lb)))); | ~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19892:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19892 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:115:7: required from ‘class stan::math::Holder, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Matrix >’ 115 | class Holder | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:312:16: required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence, const std::tuple&) [with T = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; long unsigned int ...Is = {0}; Args = {Eigen::Matrix}; std::index_sequence = std::integer_sequence]’ 312 | return holder(std::forward(expr), std::get(ptrs)...); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:330:43: required from ‘auto stan::math::internal::make_holder_impl(const F&, std::index_sequence, Args&& ...) [with F = stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; long unsigned int ...Is = {0}; Args = {Eigen::Matrix}; std::index_sequence = std::integer_sequence]’ 330 | return make_holder_impl_construct_object( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 331 | func(*std::get(res)...), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 332 | std::make_index_sequence::value>(), ptrs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:353:36: required from ‘auto stan::math::make_holder(const F&, Args&& ...) [with F = logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; Args = {Eigen::Matrix}; stan::require_not_plain_type_t()((declval)()...))>* = 0]’ 353 | return internal::make_holder_impl(func, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 354 | std::make_index_sequence(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 355 | std::forward(args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21: required from ‘auto stan::math::logit(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]’ 109 | return make_holder( | ~~~~~~~~~~~^ 110 | [](const auto& v_ref) { | ~~~~~~~~~~~~~~~~~~~~~~~ 111 | return apply_vector_unary>::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | v_ref, | ~~~~~~ 113 | [](const auto& v) { return (v.array() / (1 - v.array())).log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | }, | ~~ 115 | to_ref(x)); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:59:22: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 59 | return eval(logit(divide(subtract(std::forward(y_ref), lb), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 60 | subtract(ub, lb)))); | ~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19892:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19892 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of ‘int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; Eigen::MatrixXd = Eigen::Matrix]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1253:0: required from ‘SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1253 | ret = stan::services::standalone_generate(model_, draws, 1254 | Rcpp::as(seed), interrupt, logger, *sample_writer_ptr); stanExports_stanmarg.cc:30:0: required from here 30 | .method("standalone_gqs", &rstan::stan_fit ::standalone_gqs) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:55: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 55 | if (p_names.size() != draws.cols()) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:71: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 71 | for (size_t i = 0; i < draws.rows(); ++i) { In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/assert.hpp:35, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:20, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:19, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size_type.hpp:20, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/functions.hpp:20, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resize.hpp:24: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept >, __gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:81:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:65:52: warning: ‘this’ pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:16, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:4, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:46: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/concept.hpp:40: note: in a call to non-static member function ‘void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::token_finderF >; IteratorT = __gnu_cxx::__normal_iterator >]’ 40 | void constraints() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept, __gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/find_format.hpp:98:0: required from ‘void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/replace.hpp:179:0: required from ‘void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]’ 179 | ::boost::algorithm::find_format( 180 | Input, 181 | ::boost::algorithm::first_finder(Search), 182 | ::boost::algorithm::const_formatter(Format) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:0: required from here 133 | boost::replace_first(value, " (Default)", ""); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:65:52: warning: ‘this’ pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/concept.hpp:40: note: in a call to non-static member function ‘void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]’ 40 | void constraints() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FormatterConcept >, boost::algorithm::detail::first_finderF, __gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/find_format.hpp:103:0: required from ‘void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/replace.hpp:179:0: required from ‘void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]’ 179 | ::boost::algorithm::find_format( 180 | Input, 181 | ::boost::algorithm::first_finder(Search), 182 | ::boost::algorithm::const_formatter(Format) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:0: required from here 133 | boost::replace_first(value, " (Default)", ""); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:65:52: warning: ‘this’ pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/concept.hpp:65: note: in a call to non-static member function ‘void boost::algorithm::FormatterConcept::constraints() [with FormatterT = boost::algorithm::detail::const_formatF >; FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]’ 65 | void constraints() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:112:44: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t, stan::value_type_t&) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 112 | const Eigen::Ref>& CPCs_ref = CPCs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:62:47: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 62 | acc.tail(pull) = T_scalar(1.0) - temp.square(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 32 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:45:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int]’ 45 | return read_corr_matrix(corr_constrain(x), k); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:949:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 949 | return corr_matrix_constrain( 950 | this->read>((k * (k - 1)) / 2), 951 | k); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:62:34: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 62 | acc.tail(pull) = T_scalar(1.0) - temp.square(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 32 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:45:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int]’ 45 | return read_corr_matrix(corr_constrain(x), k); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:949:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 949 | return corr_matrix_constrain( 950 | this->read>((k * (k - 1)) / 2), 951 | k); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:68:32: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 68 | L.col(i).tail(pull) = temp * acc.tail(pull).sqrt(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 32 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:45:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int]’ 45 | return read_corr_matrix(corr_constrain(x), k); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:949:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 949 | return corr_matrix_constrain( 950 | this->read>((k * (k - 1)) / 2), 951 | k); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:58: required from ‘stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]’ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]’ 93 | return f(x); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]’ 83 | return apply_vector_unary::reduce(x, [&](const auto& v) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 84 | if (v.size() == 0) { | ~~~~~~~~~~~~~~~~~~~~ 85 | return NEGATIVE_INFTY; | ~~~~~~~~~~~~~~~~~~~~~~ 86 | } | ~ 87 | const auto& v_ref = to_ref(v); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 88 | const double max = v_ref.maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 89 | if (!std::isfinite(max)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 90 | return max; | ~~~~~~~~~~~ 91 | } | ~ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 93 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here 59 | double log_sum_y = log_sum_exp(log_y); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 72 | typedef blas_data_mapper ResMapper; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 92 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 92 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from ‘Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]’ 159 | return CommaInitializer(*static_cast(this), other); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from ‘Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]’ 102 | result << A.template cast(), B; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 29 | ArrayBT b_array = append_row(as_array_or_scalar(b), 1.0); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 478 | return Scalar(derived().redux(Eigen::internal::scalar_sum_op())) / Scalar(this->size()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:0: required from here 25 | vector_d diff = dtrs_vals.array() - dtrs_vals.mean(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 451 | subdiag = mat.template diagonal<-1>().real(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::InnerStride<1> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:126:21: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t, stan::value_type_t&) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 126 | return read_corr_L(CPCs_ref, K); | ~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:46: required from ‘stan::math::matrix_d stan::math::multiply_lower_tri_self_transpose(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_matrix_dynamic_t* = 0; stan::require_not_st_autodiff* = 0; matrix_d = Eigen::Matrix]’ 35 | LLt(m, m) = Lt.col(m).head(k).squaredNorm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:43: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 191 | _pk.noalias() = -_gk; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12963:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12962 | Theta_sd_free = in__.template read_constrain_lb< 12963 | Eigen::Matrix, jacobian__>(0, 12964 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12963:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12962 | Theta_sd_free = in__.template read_constrain_lb< 12963 | Eigen::Matrix, jacobian__>(0, 12964 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:192:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 192 | auto exp_x = to_arena(arena_x.val().array().exp()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12963:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12962 | Theta_sd_free = in__.template read_constrain_lb< 12963 | Eigen::Matrix, jacobian__>(0, 12964 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:193:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 193 | arena_t ret = exp_x + lb_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12963:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12962 | Theta_sd_free = in__.template read_constrain_lb< 12963 | Eigen::Matrix, jacobian__>(0, 12964 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12963:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12962 | Theta_sd_free = in__.template read_constrain_lb< 12963 | Eigen::Matrix, jacobian__>(0, 12964 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12963:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12962 | Theta_sd_free = in__.template read_constrain_lb< 12963 | Eigen::Matrix, jacobian__>(0, 12964 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:197:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 197 | arena_x.adj().array() += ret.adj().array() * exp_x + lp.adj(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12963:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12962 | Theta_sd_free = in__.template read_constrain_lb< 12963 | Eigen::Matrix, jacobian__>(0, 12964 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:197:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 197 | arena_x.adj().array() += ret.adj().array() * exp_x + lp.adj(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12963:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12962 | Theta_sd_free = in__.template read_constrain_lb< 12963 | Eigen::Matrix, jacobian__>(0, 12964 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&):: [with auto:11 = const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12963:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12962 | Theta_sd_free = in__.template read_constrain_lb< 12963 | Eigen::Matrix, jacobian__>(0, 12964 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 213 | arena_t ret = value_of(x_ref).array().exp() + lb_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12963:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12962 | Theta_sd_free = in__.template read_constrain_lb< 12963 | Eigen::Matrix, jacobian__>(0, 12964 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 213 | arena_t ret = value_of(x_ref).array().exp() + lb_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12963:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12962 | Theta_sd_free = in__.template read_constrain_lb< 12963 | Eigen::Matrix, jacobian__>(0, 12964 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 213 | arena_t ret = value_of(x_ref).array().exp() + lb_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12963:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12962 | Theta_sd_free = in__.template read_constrain_lb< 12963 | Eigen::Matrix, jacobian__>(0, 12964 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Matrix, -1, 1>; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 213 | arena_t ret = value_of(x_ref).array().exp() + lb_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:209:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 209 | return ret_type(lb_constrain(identity_constrain(x, ub), lb, lp)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/ub_constrain.hpp:195:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/ub_constrain.hpp:196:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/ub_constrain.hpp:215:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/ub_constrain.hpp:215:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, 1> >&>(arena_matrix, -1, 1> >&):: [with auto:11 = stan::math::arena_matrix, -1, 1> >]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:215:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 215 | auto neg_abs_x = to_arena(-(value_of(arena_x).array()).abs()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:215:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 215 | auto neg_abs_x = to_arena(-(value_of(arena_x).array()).abs()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:215:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 215 | auto neg_abs_x = to_arena(-(value_of(arena_x).array()).abs()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::log1p_exp_fun; T = stan::math::arena_matrix, void>]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:217:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 217 | lp += (log(diff) + (neg_abs_x - (2.0 * log1p_exp(neg_abs_x)))).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:217:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 217 | lp += (log(diff) + (neg_abs_x - (2.0 * log1p_exp(neg_abs_x)))).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:217:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 217 | lp += (log(diff) + (neg_abs_x - (2.0 * log1p_exp(neg_abs_x)))).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:219:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 219 | arena_t ret = diff * inv_logit_x + lb_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:219:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 219 | arena_t ret = diff * inv_logit_x + lb_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:224:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 224 | += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:224:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 224 | += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:224:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 224 | += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:224:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 224 | += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:225:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 225 | + lp.adj() * (1.0 - 2.0 * inv_logit_x); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:225:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 225 | + lp.adj() * (1.0 - 2.0 * inv_logit_x); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:225:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 225 | + lp.adj() * (1.0 - 2.0 * inv_logit_x); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:225:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 224 | += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x) 225 | + lp.adj() * (1.0 - 2.0 * inv_logit_x); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:231:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 231 | += (ret.adj().array() * (1.0 - inv_logit_x)).sum() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/ub_constrain.hpp:163:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:443:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 443 | return stan::math::lub_constrain(this->read(sizes...), lb, ub); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:443:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 443 | return stan::math::lub_constrain(this->read(sizes...), lb, ub); stanExports_stanmarg.h:12970:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12969 | Theta_r_free = in__.template read_constrain_lub< 12970 | Eigen::Matrix, jacobian__>(-1, 12971 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Transpose, -1, -1> >; stan::require_all_rev_matrix_t* = 0]’ 113 | using op_ret_type = decltype(a.val() + b.val()); stanExports_stanmarg.h:13361:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13361 | stan::math::add( 13362 | stan::model::rvalue(T_r_lower, "T_r_lower", 13363 | stan::model::index_uni(g)), 13364 | stan::math::transpose( 13365 | stan::model::rvalue(T_r_lower, "T_r_lower", 13366 | stan::model::index_uni(g)))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Transpose, -1, -1> >; stan::require_all_rev_matrix_t* = 0]’ 113 | using op_ret_type = decltype(a.val() + b.val()); stanExports_stanmarg.h:13361:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13361 | stan::math::add( 13362 | stan::model::rvalue(T_r_lower, "T_r_lower", 13363 | stan::model::index_uni(g)), 13364 | stan::math::transpose( 13365 | stan::model::rvalue(T_r_lower, "T_r_lower", 13366 | stan::model::index_uni(g)))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1, 0, -1, -1> > > >, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Transpose, -1, -1, 0, -1, -1> > >’ 80 | : bool_constant...>::value> {}; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > > >; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Transpose, -1, -1, 0, -1, -1> >}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Transpose, -1, -1> >; stan::require_all_rev_matrix_t* = 0]’ 114 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:13361:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13361 | stan::math::add( 13362 | stan::model::rvalue(T_r_lower, "T_r_lower", 13363 | stan::model::index_uni(g)), 13364 | stan::math::transpose( 13365 | stan::model::rvalue(T_r_lower, "T_r_lower", 13366 | stan::model::index_uni(g)))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Transpose, -1, -1> >; stan::require_all_rev_matrix_t* = 0]’ 117 | arena_t ret(arena_a.val() + arena_b.val()); stanExports_stanmarg.h:13361:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13361 | stan::math::add( 13362 | stan::model::rvalue(T_r_lower, "T_r_lower", 13363 | stan::model::index_uni(g)), 13364 | stan::math::transpose( 13365 | stan::model::rvalue(T_r_lower, "T_r_lower", 13366 | stan::model::index_uni(g)))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Transpose, -1, -1> >; stan::require_all_rev_matrix_t* = 0]’ 117 | arena_t ret(arena_a.val() + arena_b.val()); stanExports_stanmarg.h:13361:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13361 | stan::math::add( 13362 | stan::model::rvalue(T_r_lower, "T_r_lower", 13363 | stan::model::index_uni(g)), 13364 | stan::math::transpose( 13365 | stan::model::rvalue(T_r_lower, "T_r_lower", 13366 | stan::model::index_uni(g)))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Transpose, -1, -1> >; stan::require_all_rev_matrix_t* = 0]’ 117 | arena_t ret(arena_a.val() + arena_b.val()); stanExports_stanmarg.h:13361:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13361 | stan::math::add( 13362 | stan::model::rvalue(T_r_lower, "T_r_lower", 13363 | stan::model::index_uni(g)), 13364 | stan::math::transpose( 13365 | stan::model::rvalue(T_r_lower, "T_r_lower", 13366 | stan::model::index_uni(g)))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:123:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Transpose, -1, -1> >; stan::require_all_rev_matrix_t* = 0]’ 123 | arena_b.adj().coeffRef(i, j) += ref_adj; stanExports_stanmarg.h:13361:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13361 | stan::math::add( 13362 | stan::model::rvalue(T_r_lower, "T_r_lower", 13363 | stan::model::index_uni(g)), 13364 | stan::math::transpose( 13365 | stan::model::rvalue(T_r_lower, "T_r_lower", 13366 | stan::model::index_uni(g)))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:154:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 154 | (a.val().array() - as_array_or_scalar(b)).matrix())>; stanExports_stanmarg.h:13360:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13360 | stan::math::subtract( 13361 | stan::math::add( 13362 | stan::model::rvalue(T_r_lower, "T_r_lower", 13363 | stan::model::index_uni(g)), 13364 | stan::math::transpose( 13365 | stan::model::rvalue(T_r_lower, "T_r_lower", 13366 | stan::model::index_uni(g)))), 13367 | stan::math::diag_matrix(stan::math::rep_vector(1, p))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:154:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 154 | (a.val().array() - as_array_or_scalar(b)).matrix())>; stanExports_stanmarg.h:13360:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13360 | stan::math::subtract( 13361 | stan::math::add( 13362 | stan::model::rvalue(T_r_lower, "T_r_lower", 13363 | stan::model::index_uni(g)), 13364 | stan::math::transpose( 13365 | stan::model::rvalue(T_r_lower, "T_r_lower", 13366 | stan::model::index_uni(g)))), 13367 | stan::math::diag_matrix(stan::math::rep_vector(1, p))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: recursively required by substitution of ‘template struct stan::plain_type, stan::is_eigen::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >]’ 22 | using plain_type_t = typename plain_type::type; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: required by substitution of ‘template using stan::plain_type_t = typename stan::plain_type::type [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >]’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:153:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 153 | using op_ret_type = plain_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13360 | stan::math::subtract( 13361 | stan::math::add( 13362 | stan::model::rvalue(T_r_lower, "T_r_lower", 13363 | stan::model::index_uni(g)), 13364 | stan::math::transpose( 13365 | stan::model::rvalue(T_r_lower, "T_r_lower", 13366 | stan::model::index_uni(g)))), 13367 | stan::math::diag_matrix(stan::math::rep_vector(1, p))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:157:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 157 | arena_t ret(arena_a.val().array() - as_array_or_scalar(b)); stanExports_stanmarg.h:13360:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13360 | stan::math::subtract( 13361 | stan::math::add( 13362 | stan::model::rvalue(T_r_lower, "T_r_lower", 13363 | stan::model::index_uni(g)), 13364 | stan::math::transpose( 13365 | stan::model::rvalue(T_r_lower, "T_r_lower", 13366 | stan::model::index_uni(g)))), 13367 | stan::math::diag_matrix(stan::math::rep_vector(1, p))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:157:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 157 | arena_t ret(arena_a.val().array() - as_array_or_scalar(b)); stanExports_stanmarg.h:13360:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13360 | stan::math::subtract( 13361 | stan::math::add( 13362 | stan::model::rvalue(T_r_lower, "T_r_lower", 13363 | stan::model::index_uni(g)), 13364 | stan::math::transpose( 13365 | stan::model::rvalue(T_r_lower, "T_r_lower", 13366 | stan::model::index_uni(g)))), 13367 | stan::math::diag_matrix(stan::math::rep_vector(1, p))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:13 = const Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 180 | (as_array_or_scalar(a) - b.val().array()).matrix())>; stanExports_stanmarg.h:13574:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13574 | stan::math::subtract(I, 13575 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 180 | (as_array_or_scalar(a) - b.val().array()).matrix())>; stanExports_stanmarg.h:13574:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13574 | stan::math::subtract(I, 13575 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: recursively required by substitution of ‘template struct stan::plain_type, stan::is_eigen::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > >]’ 22 | using plain_type_t = typename plain_type::type; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: required by substitution of ‘template using stan::plain_type_t = typename stan::plain_type::type [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > >]’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:179:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 179 | using op_ret_type = plain_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13574 | stan::math::subtract(I, 13575 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:183:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 183 | arena_t ret(as_array_or_scalar(a) - arena_b.val().array()); stanExports_stanmarg.h:13574:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13574 | stan::math::subtract(I, 13575 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:185:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 185 | [ret, arena_b]() mutable { arena_b.adj() -= ret.adj_op(); }); stanExports_stanmarg.h:13574:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13574 | stan::math::subtract(I, 13575 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1, 0, -1, -1> > >, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, -1, 0, -1, -1> >’ 80 | : bool_constant...>::value> {}; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Matrix, -1, -1>; stan::require_all_rev_matrix_t* = 0]’ 114 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:13615:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13615 | stan::math::add( 13616 | stan::model::deep_copy( 13617 | stan::model::rvalue(Sigma, "Sigma", 13618 | stan::model::index_uni(g), 13619 | stan::model::index_min_max(1, p), 13620 | stan::model::index_min_max(1, p))), 13621 | stan::math::quad_form_sym( 13622 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 13623 | stan::math::transpose( 13624 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13625 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Matrix, -1, -1>; stan::require_all_rev_matrix_t* = 0]’ 117 | arena_t ret(arena_a.val() + arena_b.val()); stanExports_stanmarg.h:13615:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13615 | stan::math::add( 13616 | stan::model::deep_copy( 13617 | stan::model::rvalue(Sigma, "Sigma", 13618 | stan::model::index_uni(g), 13619 | stan::model::index_min_max(1, p), 13620 | stan::model::index_min_max(1, p))), 13621 | stan::math::quad_form_sym( 13622 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 13623 | stan::math::transpose( 13624 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13625 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::VectorBlock, -1, -1, 0, -1, -1>, -1, 1, true>, -1> >’ 80 | : bool_constant...>::value> {}; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::VectorBlock, -1, -1, 0, -1, -1>, -1, 1, true>, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 36 | using return_t stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 47 | arena_A.adj() += res_adj * arena_B_val.transpose(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 48 | arena_B.adj() += arena_A_val.transpose() * res_adj; stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, -1>&>(const Eigen::Matrix, -1, -1>&):: [with auto:11 = const Eigen::Matrix, -1, -1>]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:53:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 53 | arena_t> arena_A = value_of(A); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&):: [with auto:11 = const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:56:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 56 | = return_var_matrix_t; stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::VectorBlock, -1, -1, 0, -1, -1>, -1, 1, true>, -1> >’ 80 | : bool_constant...>::value> {}; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::VectorBlock, -1, -1, 0, -1, -1>, -1, 1, true>, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 55 | using return_t stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 57 | arena_t res = arena_A * arena_B.val_op(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 57 | arena_t res = arena_A * arena_B.val_op(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, void>&>(arena_matrix, -1, -1>, void>&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, void>&>(arena_matrix, -1, -1>, void>&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, void>&>(arena_matrix, -1, -1>, void>&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>, void>&>(arena_matrix, -1, -1>, void>&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>, void>&>(arena_matrix, -1, -1>, void>&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, -1>, void>&>(arena_matrix, -1, -1>, void>&):: [with auto:11 = stan::math::arena_matrix, -1, -1>, void>]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 66 | = return_var_matrix_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::VectorBlock, -1, -1, 0, -1, -1>, -1, 1, true>, -1> >’ 80 | : bool_constant...>::value> {}; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::VectorBlock, -1, -1, 0, -1, -1>, -1, 1, true>, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 65 | using return_t stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 68 | arena_t res = arena_A.val_op() * arena_B; stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 68 | arena_t res = arena_A.val_op() * arena_B; stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]’ 113 | using op_ret_type = decltype(a.val() + b.val()); stanExports_stanmarg.h:13633:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13633 | stan::math::add( 13634 | stan::model::deep_copy( 13635 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(g), 13636 | stan::model::index_min_max(1, p))), 13637 | stan::math::to_vector( 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> > >, Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix, -1, 1, 0, -1, 1> >’ 80 | : bool_constant...>::value> {}; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix, -1, 1, 0, -1, 1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]’ 114 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:13633:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13633 | stan::math::add( 13634 | stan::model::deep_copy( 13635 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(g), 13636 | stan::model::index_min_max(1, p))), 13637 | stan::math::to_vector( 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]’ 117 | arena_t ret(arena_a.val() + arena_b.val()); stanExports_stanmarg.h:13633:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13633 | stan::math::add( 13634 | stan::model::deep_copy( 13635 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(g), 13636 | stan::model::index_min_max(1, p))), 13637 | stan::math::to_vector( 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 147 | = decltype((a.val().array() + as_array_or_scalar(b)).matrix()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0: required from ‘auto stan::math::add(const Arith&, const VarMat&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 169 | return add(b, a); stanExports_stanmarg.h:14697:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 147 | = decltype((a.val().array() + as_array_or_scalar(b)).matrix()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0: required from ‘auto stan::math::add(const Arith&, const VarMat&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 169 | return add(b, a); stanExports_stanmarg.h:14697:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 148 | using ret_type = return_var_matrix_t; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0: required from ‘auto stan::math::add(const Arith&, const VarMat&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 169 | return add(b, a); stanExports_stanmarg.h:14697:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 150 | arena_t ret(arena_a.val().array() + as_array_or_scalar(b)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0: required from ‘auto stan::math::add(const Arith&, const VarMat&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 169 | return add(b, a); stanExports_stanmarg.h:14697:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 145 | arena_t res = arena_A.val() * arena_B.val().array(); stanExports_stanmarg.h:14696:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 163 | arena_B.adj().array() += arena_A * res.adj().array(); stanExports_stanmarg.h:14696:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 170 | arena_t res = arena_A.val() * arena_B.array(); stanExports_stanmarg.h:14696:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 170 | arena_t res = arena_A.val() * arena_B.array(); stanExports_stanmarg.h:14696:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 172 | arena_A.adj() += (res.adj().array() * arena_B.array()).sum(); stanExports_stanmarg.h:14696:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Transpose >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Transpose > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:40:13: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~~~ 40 | .solve(Eigen::Matrix(b) | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | .transpose()) | ~~~~~~~~~~~~~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Transpose > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~~~ 40 | .solve(Eigen::Matrix(b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | .transpose()) | ~~~~~~~~~~~~~ 42 | .transpose(); | ~~~~~~~~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:26: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:34: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:40: required from ‘stan::math::quad_form_sym, Eigen::Matrix >(const Eigen::Matrix&, const Eigen::Matrix&):: [with auto:377 = Eigen::Matrix]’ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::quad_form_sym, Eigen::Matrix >(const Eigen::Matrix&, const Eigen::Matrix&)::; Args = {const Eigen::Matrix}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 35 | return make_holder( | ~~~~~~~~~~~^ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:115:7: required from ‘class stan::math::Holder, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix >’ 115 | class Holder | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:312:16: required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence, const std::tuple&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >; long unsigned int ...Is = {0}; Args = {const Eigen::Matrix}; std::index_sequence = std::integer_sequence]’ 312 | return holder(std::forward(expr), std::get(ptrs)...); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:330:43: required from ‘auto stan::math::internal::make_holder_impl(const F&, std::index_sequence, Args&& ...) [with F = stan::math::quad_form_sym, Eigen::Matrix >(const Eigen::Matrix&, const Eigen::Matrix&)::; long unsigned int ...Is = {0}; Args = {const Eigen::Matrix}; std::index_sequence = std::integer_sequence]’ 330 | return make_holder_impl_construct_object( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 331 | func(*std::get(res)...), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 332 | std::make_index_sequence::value>(), ptrs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:353:36: required from ‘auto stan::math::make_holder(const F&, Args&& ...) [with F = quad_form_sym, Eigen::Matrix >(const Eigen::Matrix&, const Eigen::Matrix&)::; Args = {const Eigen::Matrix}; stan::require_not_plain_type_t()((declval)()...))>* = 0]’ 353 | return internal::make_holder_impl(func, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 354 | std::make_index_sequence(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 355 | std::forward(args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 35 | return make_holder( | ~~~~~~~~~~~^ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:26: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:34: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:47: required from ‘stan::math::quad_form_sym, Eigen::Transpose > >(const Eigen::Matrix&, const Eigen::Transpose >&):: [with auto:377 = Eigen::Matrix]’ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::quad_form_sym, Eigen::Transpose > >(const Eigen::Matrix&, const Eigen::Transpose >&)::; Args = {const Eigen::Matrix}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 35 | return make_holder( | ~~~~~~~~~~~^ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:40: required from ‘stan::math::quad_form_sym, Eigen::Transpose > >(const Eigen::Matrix&, const Eigen::Transpose >&):: [with auto:377 = Eigen::Matrix]’ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::quad_form_sym, Eigen::Transpose > >(const Eigen::Matrix&, const Eigen::Transpose >&)::; Args = {const Eigen::Matrix}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 35 | return make_holder( | ~~~~~~~~~~~^ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:115:7: required from ‘class stan::math::Holder, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix >’ 115 | class Holder | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:312:16: required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence, const std::tuple&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >; long unsigned int ...Is = {0}; Args = {const Eigen::Matrix}; std::index_sequence = std::integer_sequence]’ 312 | return holder(std::forward(expr), std::get(ptrs)...); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:330:43: required from ‘auto stan::math::internal::make_holder_impl(const F&, std::index_sequence, Args&& ...) [with F = stan::math::quad_form_sym, Eigen::Transpose > >(const Eigen::Matrix&, const Eigen::Transpose >&)::; long unsigned int ...Is = {0}; Args = {const Eigen::Matrix}; std::index_sequence = std::integer_sequence]’ 330 | return make_holder_impl_construct_object( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 331 | func(*std::get(res)...), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 332 | std::make_index_sequence::value>(), ptrs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:353:36: required from ‘auto stan::math::make_holder(const F&, Args&& ...) [with F = quad_form_sym, Eigen::Transpose > >(const Eigen::Matrix&, const Eigen::Transpose >&)::; Args = {const Eigen::Matrix}; stan::require_not_plain_type_t()((declval)()...))>* = 0]’ 353 | return internal::make_holder_impl(func, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 354 | std::make_index_sequence(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 355 | std::forward(args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 35 | return make_holder( | ~~~~~~~~~~~^ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 329 | template class Ref | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:31:49: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 31 | const Eigen::Ref>& m_ref = m; | ^~~~~ stanExports_stanmarg.h:16304:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16304 | stan::math::inverse_spd( 16305 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:33:60: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 33 | plain_type_t mmt = 0.5 * (m_ref + m_ref.transpose()); | ~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16304:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16304 | stan::math::inverse_spd( 16305 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:33:43: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 33 | plain_type_t mmt = 0.5 * (m_ref + m_ref.transpose()); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:16304:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16304 | stan::math::inverse_spd( 16305 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:33:34: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 33 | plain_type_t mmt = 0.5 * (m_ref + m_ref.transpose()); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:16304:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16304 | stan::math::inverse_spd( 16305 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:44:20: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 44 | return ldlt.solve( | ~~~~~~~~~~^ 45 | Eigen::Matrix::Identity( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 46 | m.rows(), m.cols())); | ~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:16304:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16304 | stan::math::inverse_spd( 16305 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Product >, Eigen::Matrix, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:4436:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4436 | stan::math::subtract( 4437 | stan::model::rvalue(Sigmainv, "Sigmainv", 4438 | stan::model::index_multi( 4439 | stan::model::rvalue(obsidx, "obsidx", 4440 | stan::model::index_min_max(1, Nobs))), 4441 | stan::model::index_multi( 4442 | stan::model::rvalue(obsidx, "obsidx", 4443 | stan::model::index_min_max(1, Nobs)))), 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:16317:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16317 | sig_inv_update( 16318 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16319 | stan::model::index_uni( 16320 | stan::model::rvalue(grpnum, "grpnum", 16321 | stan::model::index_uni(patt)))), 16322 | stan::model::rvalue(Obsvar, "Obsvar", 16323 | stan::model::index_uni(patt), stan::model::index_omni()), 16324 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16325 | (p + q), 16326 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16327 | stan::model::index_uni( 16328 | stan::model::rvalue(grpnum, "grpnum", 16329 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_rng.hpp:72:55: required from ‘typename stan::StdVectorBuilder, T_loc>::type stan::math::multi_normal_cholesky_rng(const T_loc&, const Eigen::Matrix&, RNG&) [with T_loc = Eigen::Matrix; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; typename stan::StdVectorBuilder, T_loc>::type = Eigen::Matrix]’ 72 | output[n] = as_column_vector_or_scalar(mu_vec[n]) + L_ref * z; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:17222:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17222 | stan::math::multi_normal_cholesky_rng( 17223 | stan::model::rvalue(Mu_c, "Mu_c", 17224 | stan::model::index_uni(gg)), Sigma_c_chol, base_rng__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/append_col.hpp:49:53: required from ‘auto stan::math::append_col(const T1&, const T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; = void]’ 49 | result.leftCols(Acols) = A.template cast(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:2847:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type>::type, -1, -1> model_stanmarg_namespace::calc_B_tilde(const T0__&, const T1__&, const std::vector&, const int&, std::ostream*) [with T0__ = Eigen::Matrix; T1__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 2847 | stan::model::assign(out, stan::math::append_col(mu2, sig2), stanExports_stanmarg.h:17229:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17229 | calc_B_tilde( 17230 | stan::model::rvalue(Sigma_c, "Sigma_c", 17231 | stan::model::index_uni(gg)), YXstar_rep_c, ov_idx2, 17232 | p_tilde, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/append_col.hpp:50:54: required from ‘auto stan::math::append_col(const T1&, const T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; = void]’ 50 | result.rightCols(Bcols) = B.template cast(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:2847:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type>::type, -1, -1> model_stanmarg_namespace::calc_B_tilde(const T0__&, const T1__&, const std::vector&, const int&, std::ostream*) [with T0__ = Eigen::Matrix; T1__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 2847 | stan::model::assign(out, stan::math::append_col(mu2, sig2), stanExports_stanmarg.h:17229:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17229 | calc_B_tilde( 17230 | stan::model::rvalue(Sigma_c, "Sigma_c", 17231 | stan::model::index_uni(gg)), YXstar_rep_c, ov_idx2, 17232 | p_tilde, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:4576:0: required from ‘std::vector::type, -1, 1> > model_stanmarg_namespace::calc_mean_vecs(const std::vector >&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; stan::require_all_t, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4576 | stan::math::add(stan::model::deep_copy(ov_mean), 4577 | stan::model::rvalue(YXstar, "YXstar", stan::model::index_uni(i), 4578 | stan::model::index_multi( 4579 | stan::model::rvalue(Xvar, "Xvar", 4580 | stan::model::index_min_max(1, Nx))))), stanExports_stanmarg.h:17686:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17686 | calc_mean_vecs( 17687 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17688 | stan::model::index_min_max(rr1, (r1 - 1))), 17689 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17690 | stan::model::index_min_max(r2, (clusidx - 1))), 17691 | stan::model::rvalue(nclus, "nclus", 17692 | stan::model::index_uni(gg)), 17693 | stan::model::rvalue(Xvar, "Xvar", 17694 | stan::model::index_uni(gg)), 17695 | stan::model::rvalue(Xbetvar, "Xbetvar", 17696 | stan::model::index_uni(gg)), 17697 | stan::model::rvalue(Nx, "Nx", 17698 | stan::model::index_uni(gg)), 17699 | stan::model::rvalue(Nx_between, "Nx_between", 17700 | stan::model::index_uni(gg)), p_tilde, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:4600:0: required from ‘std::vector::type, -1, 1> > model_stanmarg_namespace::calc_mean_vecs(const std::vector >&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; stan::require_all_t, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4600 | stan::math::add(stan::model::deep_copy(ov_mean_d), 4601 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4602 | stan::model::index_min_max(1, Nx_between))), stanExports_stanmarg.h:17686:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17686 | calc_mean_vecs( 17687 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17688 | stan::model::index_min_max(rr1, (r1 - 1))), 17689 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17690 | stan::model::index_min_max(r2, (clusidx - 1))), 17691 | stan::model::rvalue(nclus, "nclus", 17692 | stan::model::index_uni(gg)), 17693 | stan::model::rvalue(Xvar, "Xvar", 17694 | stan::model::index_uni(gg)), 17695 | stan::model::rvalue(Xbetvar, "Xbetvar", 17696 | stan::model::index_uni(gg)), 17697 | stan::model::rvalue(Nx, "Nx", 17698 | stan::model::index_uni(gg)), 17699 | stan::model::rvalue(Nx_between, "Nx_between", 17700 | stan::model::index_uni(gg)), p_tilde, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; Mat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:4696:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::calc_cov_mats(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4696 | stan::math::subtract( 4697 | stan::model::rvalue(YXstar, "YXstar", 4698 | stan::model::index_uni(i), 4699 | stan::model::index_multi( 4700 | stan::model::rvalue(Xvar, "Xvar", 4701 | stan::model::index_min_max(1, Nx)))), 4702 | stan::model::rvalue(mean_vecs, "mean_vecs", 4703 | stan::model::index_uni(1), 4704 | stan::model::index_min_max(1, Nx)))))), stanExports_stanmarg.h:17704:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17704 | calc_cov_mats( 17705 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17706 | stan::model::index_min_max(rr1, (r1 - 1))), 17707 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17708 | stan::model::index_min_max(r2, (clusidx - 1))), 17709 | mnvecs, 17710 | stan::model::rvalue(nclus, "nclus", 17711 | stan::model::index_uni(gg)), 17712 | stan::model::rvalue(Xvar, "Xvar", 17713 | stan::model::index_uni(gg)), 17714 | stan::model::rvalue(Xbetvar, "Xbetvar", 17715 | stan::model::index_uni(gg)), 17716 | stan::model::rvalue(Nx, "Nx", 17717 | stan::model::index_uni(gg)), 17718 | stan::model::rvalue(Nx_between, "Nx_between", 17719 | stan::model::index_uni(gg)), p_tilde, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::VectorBlock, -1>; Mat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:4740:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::calc_cov_mats(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4740 | stan::math::subtract( 4741 | stan::model::rvalue(mean_d, "mean_d", 4742 | stan::model::index_uni(cc), 4743 | stan::model::index_min_max(1, Nx_between)), 4744 | stan::model::rvalue(mean_vecs, "mean_vecs", 4745 | stan::model::index_uni(2), 4746 | stan::model::index_min_max(1, Nx_between)))))), stanExports_stanmarg.h:17704:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17704 | calc_cov_mats( 17705 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17706 | stan::model::index_min_max(rr1, (r1 - 1))), 17707 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17708 | stan::model::index_min_max(r2, (clusidx - 1))), 17709 | mnvecs, 17710 | stan::model::rvalue(nclus, "nclus", 17711 | stan::model::index_uni(gg)), 17712 | stan::model::rvalue(Xvar, "Xvar", 17713 | stan::model::index_uni(gg)), 17714 | stan::model::rvalue(Xbetvar, "Xbetvar", 17715 | stan::model::index_uni(gg)), 17716 | stan::model::rvalue(Nx, "Nx", 17717 | stan::model::index_uni(gg)), 17718 | stan::model::rvalue(Nx_between, "Nx_between", 17719 | stan::model::index_uni(gg)), p_tilde, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Product, Eigen::Matrix, 0>; Mat2 = Eigen::Transpose >; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]’ 107 | return m1 * m2; | ~~~^~~~ stanExports_stanmarg.h:4183:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4183 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4184 | stan::math::transpose(Sig12))), "assigning variable T2p11"); stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:4182:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4182 | stan::math::subtract(Sig11, 4183 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4184 | stan::math::transpose(Sig12))), "assigning variable T2p11"); stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::VectorBlock, -1>; Mat2 = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:4201:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4201 | stan::math::subtract( 4202 | stan::model::rvalue(YXstar, "YXstar", 4203 | stan::model::index_uni(jj), 4204 | stan::model::index_min_max(1, 4205 | stan::model::rvalue(Nobs, "Nobs", 4206 | stan::model::index_uni(mm)))), 4207 | stan::model::rvalue(Mu, "Mu", 4208 | stan::model::index_uni(grpidx), 4209 | stan::model::index_multi( 4210 | stan::model::rvalue(obsidx, "obsidx", 4211 | stan::model::index_min_max(1, 4212 | stan::model::rvalue(Nobs, "Nobs", 4213 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Product, Eigen::Matrix, 0>; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]’ 107 | return m1 * m2; | ~~~^~~~ stanExports_stanmarg.h:4200:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4200 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4201 | stan::math::subtract( 4202 | stan::model::rvalue(YXstar, "YXstar", 4203 | stan::model::index_uni(jj), 4204 | stan::model::index_min_max(1, 4205 | stan::model::rvalue(Nobs, "Nobs", 4206 | stan::model::index_uni(mm)))), 4207 | stan::model::rvalue(Mu, "Mu", 4208 | stan::model::index_uni(grpidx), 4209 | stan::model::index_multi( 4210 | stan::model::rvalue(obsidx, "obsidx", 4211 | stan::model::index_min_max(1, 4212 | stan::model::rvalue(Nobs, "Nobs", 4213 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; Mat2 = Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:4193:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4193 | stan::math::add( 4194 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx), 4195 | stan::model::index_multi( 4196 | stan::model::rvalue(obsidx, "obsidx", 4197 | stan::model::index_min_max( 4198 | (stan::model::rvalue(Nobs, "Nobs", 4199 | stan::model::index_uni(mm)) + 1), p)))), 4200 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4201 | stan::math::subtract( 4202 | stan::model::rvalue(YXstar, "YXstar", 4203 | stan::model::index_uni(jj), 4204 | stan::model::index_min_max(1, 4205 | stan::model::rvalue(Nobs, "Nobs", 4206 | stan::model::index_uni(mm)))), 4207 | stan::model::rvalue(Mu, "Mu", 4208 | stan::model::index_uni(grpidx), 4209 | stan::model::index_multi( 4210 | stan::model::rvalue(obsidx, "obsidx", 4211 | stan::model::index_min_max(1, 4212 | stan::model::rvalue(Nobs, "Nobs", 4213 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Product, Eigen::Transpose >, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:3277:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3277 | stan::math::subtract(Sigma_b, 3278 | stan::math::multiply(Sigma_yz, stan::math::transpose(Sigma_yz_zi))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:3396:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3396 | stan::math::add(stan::math::multiply(nj, Sigma_b_z), Sigma_w), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = int; Mat = Eigen::Product >, Eigen::Matrix, 0>; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 84 | return c * m; | ~~^~~ stanExports_stanmarg.h:3415:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:3414:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 28 | return m1.cwiseProduct(m2); | ~~~~~~~~~~~~~~~^~~~ stanExports_stanmarg.h:3419:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3419 | q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz)); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; Mat2 = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:3450:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3450 | stan::math::subtract( 3451 | stan::model::rvalue(YX, "YX", 3452 | stan::model::index_uni(((r1 - 1) + i)), 3453 | stan::model::index_multi(notbidx)), 3454 | stan::model::rvalue(mean_d, "mean_d", 3455 | stan::model::index_uni(clz), 3456 | stan::model::index_multi(uord_notbidx))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:28:12: required from ‘auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Scal = double; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 28 | return c * m; | ~~^~~ stanExports_stanmarg.h:3486:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3486 | stan::math::multiply( 3487 | stan::math::subtract(nperclus, stan::math::to_vector(clus_size_ns)), 3488 | stan::math::sum(stan::math::elt_multiply(Sigma_w_inv, S_PW))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:3501:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3501 | stan::math::add( 3502 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), 3503 | stan::math::elt_multiply(B, stan::math::to_vector(clus_size_ns))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:3500:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3500 | stan::math::add( 3501 | stan::math::add( 3502 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), 3503 | stan::math::elt_multiply(B, stan::math::to_vector(clus_size_ns))), 3504 | q_W), L_W)), "assigning variable loglik"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:3499:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3499 | stan::math::add( 3500 | stan::math::add( 3501 | stan::math::add( 3502 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), 3503 | stan::math::elt_multiply(B, stan::math::to_vector(clus_size_ns))), 3504 | q_W), L_W)), "assigning variable loglik"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix >; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 84 | return c * m; | ~~^~~ stanExports_stanmarg.h:3498:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3498 | stan::math::multiply(-.5, 3499 | stan::math::add( 3500 | stan::math::add( 3501 | stan::math::add( 3502 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), 3503 | stan::math::elt_multiply(B, stan::math::to_vector(clus_size_ns))), 3504 | q_W), L_W)), "assigning variable loglik"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Mat2 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:3507:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3507 | stan::math::add(stan::math::multiply(nperclus, (N_within + N_both)), 3508 | stan::math::multiply(stan::math::to_vector(clus_size_ns), N_between)), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 84 | return c * m; | ~~^~~ stanExports_stanmarg.h:3513:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3513 | stan::math::multiply(-.5, 3514 | stan::math::multiply(P, stan::math::log((2 * stan::math::pi()))))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:3512:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3512 | stan::math::add(stan::model::deep_copy(loglik), 3513 | stan::math::multiply(-.5, 3514 | stan::math::multiply(P, stan::math::log((2 * stan::math::pi()))))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:42:38: required from ‘struct stan::ref_type_if, -1>&, void>’ 42 | template match::MatchAtCompileTime | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:54:7: required by substitution of ‘template using stan::ref_type_t = typename stan::ref_type_if::type [with T = const Eigen::VectorBlock, -1>&]’ 54 | using ref_type_t = typename ref_type_if::type; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:17:24: required by substitution of ‘template stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::VectorBlock, -1>&]’ 17 | inline ref_type_t to_ref(T&& a) { | ^~~~~~ stanExports_stanmarg.h:4478:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4478 | const auto& xbar = stan::math::to_ref(xbar_arg__); stanExports_stanmarg.h:18448:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18448 | multi_normal_suff( 18449 | stan::model::rvalue(YXstar, "YXstar", 18450 | stan::model::index_uni(jj), 18451 | stan::model::index_min_max(1, 18452 | stan::model::rvalue(Nobs, "Nobs", 18453 | stan::model::index_uni(mm)))), 18454 | stan::model::rvalue(zmat, "zmat", 18455 | stan::model::index_min_max(1, 18456 | stan::model::rvalue(Nobs, "Nobs", 18457 | stan::model::index_uni(mm))), 18458 | stan::model::index_min_max(1, 18459 | stan::model::rvalue(Nobs, "Nobs", 18460 | stan::model::index_uni(mm)))), 18461 | stan::model::rvalue(Mu, "Mu", 18462 | stan::model::index_uni(grpidx), 18463 | stan::model::index_multi( 18464 | stan::model::rvalue(obsidx, "obsidx", 18465 | stan::model::index_min_max(1, 18466 | stan::model::rvalue(Nobs, "Nobs", 18467 | stan::model::index_uni(mm)))))), 18468 | stan::model::rvalue(Sigmainv, "Sigmainv", 18469 | stan::model::index_uni(mm)), 1, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:42:38: required from ‘struct stan::ref_type_if, -1, -1, false>&, void>’ 42 | template match::MatchAtCompileTime | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:54:7: required by substitution of ‘template using stan::ref_type_t = typename stan::ref_type_if::type [with T = const Eigen::Block, -1, -1, false>&]’ 54 | using ref_type_t = typename ref_type_if::type; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:17:24: required by substitution of ‘template stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Block, -1, -1, false>&]’ 17 | inline ref_type_t to_ref(T&& a) { | ^~~~~~ stanExports_stanmarg.h:4479:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4479 | const auto& S = stan::math::to_ref(S_arg__); stanExports_stanmarg.h:18448:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18448 | multi_normal_suff( 18449 | stan::model::rvalue(YXstar, "YXstar", 18450 | stan::model::index_uni(jj), 18451 | stan::model::index_min_max(1, 18452 | stan::model::rvalue(Nobs, "Nobs", 18453 | stan::model::index_uni(mm)))), 18454 | stan::model::rvalue(zmat, "zmat", 18455 | stan::model::index_min_max(1, 18456 | stan::model::rvalue(Nobs, "Nobs", 18457 | stan::model::index_uni(mm))), 18458 | stan::model::index_min_max(1, 18459 | stan::model::rvalue(Nobs, "Nobs", 18460 | stan::model::index_uni(mm)))), 18461 | stan::model::rvalue(Mu, "Mu", 18462 | stan::model::index_uni(grpidx), 18463 | stan::model::index_multi( 18464 | stan::model::rvalue(obsidx, "obsidx", 18465 | stan::model::index_min_max(1, 18466 | stan::model::rvalue(Nobs, "Nobs", 18467 | stan::model::index_uni(mm)))))), 18468 | stan::model::rvalue(Sigmainv, "Sigmainv", 18469 | stan::model::index_uni(mm)), 1, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::VectorBlock, -1>; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), stanExports_stanmarg.h:18448:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18448 | multi_normal_suff( 18449 | stan::model::rvalue(YXstar, "YXstar", 18450 | stan::model::index_uni(jj), 18451 | stan::model::index_min_max(1, 18452 | stan::model::rvalue(Nobs, "Nobs", 18453 | stan::model::index_uni(mm)))), 18454 | stan::model::rvalue(zmat, "zmat", 18455 | stan::model::index_min_max(1, 18456 | stan::model::rvalue(Nobs, "Nobs", 18457 | stan::model::index_uni(mm))), 18458 | stan::model::index_min_max(1, 18459 | stan::model::rvalue(Nobs, "Nobs", 18460 | stan::model::index_uni(mm)))), 18461 | stan::model::rvalue(Mu, "Mu", 18462 | stan::model::index_uni(grpidx), 18463 | stan::model::index_multi( 18464 | stan::model::rvalue(obsidx, "obsidx", 18465 | stan::model::index_min_max(1, 18466 | stan::model::rvalue(Nobs, "Nobs", 18467 | stan::model::index_uni(mm)))))), 18468 | stan::model::rvalue(Sigmainv, "Sigmainv", 18469 | stan::model::index_uni(mm)), 1, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/transpose.hpp:18:21: required from ‘auto stan::math::transpose(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; stan::require_matrix_t* = 0]’ 18 | return m.transpose(); | ~~~~~~~~~~~^~ stanExports_stanmarg.h:4503:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:18448:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18448 | multi_normal_suff( 18449 | stan::model::rvalue(YXstar, "YXstar", 18450 | stan::model::index_uni(jj), 18451 | stan::model::index_min_max(1, 18452 | stan::model::rvalue(Nobs, "Nobs", 18453 | stan::model::index_uni(mm)))), 18454 | stan::model::rvalue(zmat, "zmat", 18455 | stan::model::index_min_max(1, 18456 | stan::model::rvalue(Nobs, "Nobs", 18457 | stan::model::index_uni(mm))), 18458 | stan::model::index_min_max(1, 18459 | stan::model::rvalue(Nobs, "Nobs", 18460 | stan::model::index_uni(mm)))), 18461 | stan::model::rvalue(Mu, "Mu", 18462 | stan::model::index_uni(grpidx), 18463 | stan::model::index_multi( 18464 | stan::model::rvalue(obsidx, "obsidx", 18465 | stan::model::index_min_max(1, 18466 | stan::model::rvalue(Nobs, "Nobs", 18467 | stan::model::index_uni(mm)))))), 18468 | stan::model::rvalue(Sigmainv, "Sigmainv", 18469 | stan::model::index_uni(mm)), 1, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Mat2 = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]’ 107 | return m1 * m2; | ~~~^~~~ stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:18448:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18448 | multi_normal_suff( 18449 | stan::model::rvalue(YXstar, "YXstar", 18450 | stan::model::index_uni(jj), 18451 | stan::model::index_min_max(1, 18452 | stan::model::rvalue(Nobs, "Nobs", 18453 | stan::model::index_uni(mm)))), 18454 | stan::model::rvalue(zmat, "zmat", 18455 | stan::model::index_min_max(1, 18456 | stan::model::rvalue(Nobs, "Nobs", 18457 | stan::model::index_uni(mm))), 18458 | stan::model::index_min_max(1, 18459 | stan::model::rvalue(Nobs, "Nobs", 18460 | stan::model::index_uni(mm)))), 18461 | stan::model::rvalue(Mu, "Mu", 18462 | stan::model::index_uni(grpidx), 18463 | stan::model::index_multi( 18464 | stan::model::rvalue(obsidx, "obsidx", 18465 | stan::model::index_min_max(1, 18466 | stan::model::rvalue(Nobs, "Nobs", 18467 | stan::model::index_uni(mm)))))), 18468 | stan::model::rvalue(Sigmainv, "Sigmainv", 18469 | stan::model::index_uni(mm)), 1, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1, false>; Mat2 = Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:4501:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:18448:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18448 | multi_normal_suff( 18449 | stan::model::rvalue(YXstar, "YXstar", 18450 | stan::model::index_uni(jj), 18451 | stan::model::index_min_max(1, 18452 | stan::model::rvalue(Nobs, "Nobs", 18453 | stan::model::index_uni(mm)))), 18454 | stan::model::rvalue(zmat, "zmat", 18455 | stan::model::index_min_max(1, 18456 | stan::model::rvalue(Nobs, "Nobs", 18457 | stan::model::index_uni(mm))), 18458 | stan::model::index_min_max(1, 18459 | stan::model::rvalue(Nobs, "Nobs", 18460 | stan::model::index_uni(mm)))), 18461 | stan::model::rvalue(Mu, "Mu", 18462 | stan::model::index_uni(grpidx), 18463 | stan::model::index_multi( 18464 | stan::model::rvalue(obsidx, "obsidx", 18465 | stan::model::index_min_max(1, 18466 | stan::model::rvalue(Nobs, "Nobs", 18467 | stan::model::index_uni(mm)))))), 18468 | stan::model::rvalue(Sigmainv, "Sigmainv", 18469 | stan::model::index_uni(mm)), 1, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1, false>; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 28 | return m1.cwiseProduct(m2); | ~~~~~~~~~~~~~~~^~~~ stanExports_stanmarg.h:4497:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4497 | stan::math::elt_multiply( 4498 | stan::model::rvalue(Supdate, "Supdate", 4499 | stan::model::index_min_max(1, Nobs), 4500 | stan::model::index_min_max(1, Nobs)), 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:18448:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18448 | multi_normal_suff( 18449 | stan::model::rvalue(YXstar, "YXstar", 18450 | stan::model::index_uni(jj), 18451 | stan::model::index_min_max(1, 18452 | stan::model::rvalue(Nobs, "Nobs", 18453 | stan::model::index_uni(mm)))), 18454 | stan::model::rvalue(zmat, "zmat", 18455 | stan::model::index_min_max(1, 18456 | stan::model::rvalue(Nobs, "Nobs", 18457 | stan::model::index_uni(mm))), 18458 | stan::model::index_min_max(1, 18459 | stan::model::rvalue(Nobs, "Nobs", 18460 | stan::model::index_uni(mm)))), 18461 | stan::model::rvalue(Mu, "Mu", 18462 | stan::model::index_uni(grpidx), 18463 | stan::model::index_multi( 18464 | stan::model::rvalue(obsidx, "obsidx", 18465 | stan::model::index_min_max(1, 18466 | stan::model::rvalue(Nobs, "Nobs", 18467 | stan::model::index_uni(mm)))))), 18468 | stan::model::rvalue(Sigmainv, "Sigmainv", 18469 | stan::model::index_uni(mm)), 1, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Mat2 = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]’ 107 | return m1 * m2; | ~~~^~~~ stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:18483:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18483 | multi_normal_suff( 18484 | stan::model::rvalue(YXstar, "YXstar", 18485 | stan::model::index_uni(jj), 18486 | stan::model::index_multi( 18487 | stan::model::rvalue(xdatidx, "xdatidx", 18488 | stan::model::index_min_max(1, 18489 | stan::model::rvalue(Nx, "Nx", 18490 | stan::model::index_uni(mm)))))), 18491 | stan::model::rvalue(zmat, "zmat", 18492 | stan::model::index_min_max(1, 18493 | stan::model::rvalue(Nx, "Nx", 18494 | stan::model::index_uni(mm))), 18495 | stan::model::index_min_max(1, 18496 | stan::model::rvalue(Nx, "Nx", 18497 | stan::model::index_uni(mm)))), 18498 | stan::model::rvalue(Mu, "Mu", 18499 | stan::model::index_uni(grpidx), 18500 | stan::model::index_multi( 18501 | stan::model::rvalue(xidx, "xidx", 18502 | stan::model::index_min_max(1, 18503 | stan::model::rvalue(Nx, "Nx", 18504 | stan::model::index_uni(mm)))))), 18505 | sig_inv_update( 18506 | stan::model::rvalue(Sigmainv, "Sigmainv", 18507 | stan::model::index_uni(grpidx)), xidx, 18508 | stan::model::rvalue(Nx, "Nx", 18509 | stan::model::index_uni(mm)), (p + q), 18510 | stan::model::rvalue(logdetSigma_grp, 18511 | "logdetSigma_grp", stan::model::index_uni(grpidx)), 18512 | pstream__), 1, pstream__))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1, false>; Mat2 = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:4501:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:18483:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18483 | multi_normal_suff( 18484 | stan::model::rvalue(YXstar, "YXstar", 18485 | stan::model::index_uni(jj), 18486 | stan::model::index_multi( 18487 | stan::model::rvalue(xdatidx, "xdatidx", 18488 | stan::model::index_min_max(1, 18489 | stan::model::rvalue(Nx, "Nx", 18490 | stan::model::index_uni(mm)))))), 18491 | stan::model::rvalue(zmat, "zmat", 18492 | stan::model::index_min_max(1, 18493 | stan::model::rvalue(Nx, "Nx", 18494 | stan::model::index_uni(mm))), 18495 | stan::model::index_min_max(1, 18496 | stan::model::rvalue(Nx, "Nx", 18497 | stan::model::index_uni(mm)))), 18498 | stan::model::rvalue(Mu, "Mu", 18499 | stan::model::index_uni(grpidx), 18500 | stan::model::index_multi( 18501 | stan::model::rvalue(xidx, "xidx", 18502 | stan::model::index_min_max(1, 18503 | stan::model::rvalue(Nx, "Nx", 18504 | stan::model::index_uni(mm)))))), 18505 | sig_inv_update( 18506 | stan::model::rvalue(Sigmainv, "Sigmainv", 18507 | stan::model::index_uni(grpidx)), xidx, 18508 | stan::model::rvalue(Nx, "Nx", 18509 | stan::model::index_uni(mm)), (p + q), 18510 | stan::model::rvalue(logdetSigma_grp, 18511 | "logdetSigma_grp", stan::model::index_uni(grpidx)), 18512 | pstream__), 1, pstream__))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1, false>; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 28 | return m1.cwiseProduct(m2); | ~~~~~~~~~~~~~~~^~~~ stanExports_stanmarg.h:4497:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4497 | stan::math::elt_multiply( 4498 | stan::model::rvalue(Supdate, "Supdate", 4499 | stan::model::index_min_max(1, Nobs), 4500 | stan::model::index_min_max(1, Nobs)), 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:18483:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18483 | multi_normal_suff( 18484 | stan::model::rvalue(YXstar, "YXstar", 18485 | stan::model::index_uni(jj), 18486 | stan::model::index_multi( 18487 | stan::model::rvalue(xdatidx, "xdatidx", 18488 | stan::model::index_min_max(1, 18489 | stan::model::rvalue(Nx, "Nx", 18490 | stan::model::index_uni(mm)))))), 18491 | stan::model::rvalue(zmat, "zmat", 18492 | stan::model::index_min_max(1, 18493 | stan::model::rvalue(Nx, "Nx", 18494 | stan::model::index_uni(mm))), 18495 | stan::model::index_min_max(1, 18496 | stan::model::rvalue(Nx, "Nx", 18497 | stan::model::index_uni(mm)))), 18498 | stan::model::rvalue(Mu, "Mu", 18499 | stan::model::index_uni(grpidx), 18500 | stan::model::index_multi( 18501 | stan::model::rvalue(xidx, "xidx", 18502 | stan::model::index_min_max(1, 18503 | stan::model::rvalue(Nx, "Nx", 18504 | stan::model::index_uni(mm)))))), 18505 | sig_inv_update( 18506 | stan::model::rvalue(Sigmainv, "Sigmainv", 18507 | stan::model::index_uni(grpidx)), xidx, 18508 | stan::model::rvalue(Nx, "Nx", 18509 | stan::model::index_uni(mm)), (p + q), 18510 | stan::model::rvalue(logdetSigma_grp, 18511 | "logdetSigma_grp", stan::model::index_uni(grpidx)), 18512 | pstream__), 1, pstream__))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | y, "finite"); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:35:15: required from ‘stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]’ 35 | check_finite("hypergeometric_pFq", "a", a_ref); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from ‘stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]’ 189 | return hypergeometric_pFq(a_args, b_args, z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | y, "finite"); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:36:15: required from ‘stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]’ 36 | check_finite("hypergeometric_pFq", "b", b_ref); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from ‘stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]’ 189 | return hypergeometric_pFq(a_args, b_args, z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:39:16: required from ‘stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]’ 39 | check_not_nan("hypergeometric_pFq", "a", a_ref); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from ‘stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]’ 189 | return hypergeometric_pFq(a_args, b_args, z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:40:16: required from ‘stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]’ 40 | check_not_nan("hypergeometric_pFq", "b", b_ref); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from ‘stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]’ 189 | return hypergeometric_pFq(a_args, b_args, z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here 106 | return x.cwiseAbs().rowwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 2, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 203 | PanelType panel(m_arg, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]’ 251 | PacketScalar packet_res0 = eval.template packet(alignedStart); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here 106 | return x.cwiseAbs().rowwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]’ 251 | PacketScalar packet_res0 = eval.template packet(alignedStart); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here 106 | return x.cwiseAbs().rowwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]’ 268 | res = func(res,eval.coeff(index)); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here 106 | return x.cwiseAbs().rowwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 100 | pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 113 | gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | (std::min)(size,i2), alpha, -1, -1, 0, 0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:0: required from here 28 | double variance = diff.squaredNorm() / size_m1; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 352 | Block A21(mat,k+1,k,rs,1); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:120:49: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t, stan::value_type_t&) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 120 | acc += (K - k - 1) * log1m(square(CPCs_ref(pos))); | ~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:37:52: required from ‘stan::math::matrix_d stan::math::multiply_lower_tri_self_transpose(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_matrix_dynamic_t* = 0; stan::require_not_st_autodiff* = 0; matrix_d = Eigen::Matrix]’ 37 | LLt(n, m) = LLt(m, n) = Lt.col(m).head(k).dot(Lt.col(n).head(k)); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:43: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:32:27: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 32 | sds = Sigma_ref.diagonal().array(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:32:35: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 32 | sds = Sigma_ref.diagonal().array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:36:17: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 36 | sds = sds.sqrt(); | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:39:29: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 39 | D.diagonal() = sds.inverse(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:40:16: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 40 | sds = sds.log(); // now unbounded | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:42:65: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 42 | Eigen::Matrix R = D * Sigma_ref * D; | ~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:42:77: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 42 | Eigen::Matrix R = D * Sigma_ref * D; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >(Eigen::Matrix&&, const char*, const index_multi&)::::, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >(Eigen::Matrix&&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >(Eigen::Matrix&&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp >(Eigen::Matrix&&, const char*, const index_multi&)::::, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:158:0: required from ‘stan::model::rvalue >(Eigen::Matrix&&, const char*, const index_multi&):: [with auto:767 = Eigen::Matrix]’ 158 | return plain_type_t::NullaryExpr( 159 | idx.ns_.size(), [name, &idx, &v_ref](Eigen::Index i) { 160 | math::check_range("vector[multi] indexing", name, v_ref.size(), 161 | idx.ns_[i]); 162 | return v_ref.coeff(idx.ns_[i] - 1); 163 | }); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::model::rvalue >(Eigen::Matrix&&, const char*, const index_multi&)::; Args = {Eigen::Matrix&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:156:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14456:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14456 | stan::model::rvalue(YXstar, "YXstar", 14457 | stan::model::index_min_max(r1, r2), 14458 | stan::model::index_multi( 14459 | stan::model::rvalue(xdatidx, "xdatidx", 14460 | stan::model::index_min_max(1, 14461 | stan::model::rvalue(Nx, "Nx", 14462 | stan::model::index_uni(mm)))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:77:13: required from ‘auto stan::math::add(Scal, const Mat&) [with Scal = int; Mat = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 77 | return (c + m.array()).matrix(); | ~~~^~~~~~~~~~~~ stanExports_stanmarg.h:14697:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:77:32: required from ‘auto stan::math::add(Scal, const Mat&) [with Scal = int; Mat = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 77 | return (c + m.array()).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:14697:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 84 | return c * m; | ~~^~~ stanExports_stanmarg.h:14696:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:0: required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor; Scalar = double; XType = Eigen::Matrix]’ 247 | x1.noalias() = x0 + alpha1 * p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 209 | = WolfeLineSearch(_func, _alpha, _xk_1, _fk_1, _gk_1, _pk, _xk, _fk, 210 | _gk, _ls_opts.c1, _ls_opts.c2, _ls_opts.minAlpha, 211 | _ls_opts.maxLSIts, _ls_opts.maxLSRestarts); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 34 | = HessianT::Identity(yk.size(), yk.size()) - rhok * sk * yk.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 34 | = HessianT::Identity(yk.size(), yk.size()) - rhok * sk * yk.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:0: required from ‘void stan::optimization::BFGSUpdate_HInv::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 55 | pk.noalias() = -(_Hk * gk); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 254 | _qn.search_direction(_pk, _gk); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant.hpp:23:0: required from ‘stan::math::var stan::math::log_determinant(const T&) [with T = Eigen::Matrix, -1, -1>; stan::require_rev_matrix_t* = 0; var = var_value]’ 23 | auto arena_m_inv_transpose = to_arena(m_hh.inverse().transpose()); stanExports_stanmarg.h:14144:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14144 | stan::math::log_determinant( 14145 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant.hpp:23:0: required from ‘stan::math::var stan::math::log_determinant(const T&) [with T = Eigen::Matrix, -1, -1>; stan::require_rev_matrix_t* = 0; var = var_value]’ 23 | auto arena_m_inv_transpose = to_arena(m_hh.inverse().transpose()); stanExports_stanmarg.h:14144:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14144 | stan::math::log_determinant( 14145 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant.hpp:27:0: required from ‘stan::math::var stan::math::log_determinant(const T&) [with T = Eigen::Matrix, -1, -1>; stan::require_rev_matrix_t* = 0; var = var_value]’ 27 | arena_m.adj() += log_det.adj() * arena_m_inv_transpose; stanExports_stanmarg.h:14144:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14144 | stan::math::log_determinant( 14145 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1> >&>(const Eigen::Transpose, -1, -1> >&)::::, const Eigen::Transpose, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >&>(const Eigen::Transpose, -1, -1> >&)::::, const Eigen::Transpose, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >&>(const Eigen::Transpose, -1, -1> >&)::::, const Eigen::Transpose, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1> >&>(const Eigen::Transpose, -1, -1> >&)::::, const Eigen::Transpose, -1, -1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1> >&>(const Eigen::Transpose, -1, -1> >&)::::, const Eigen::Transpose, -1, -1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, -1> >&>(const Eigen::Transpose, -1, -1> >&):: [with auto:11 = const Eigen::Transpose, -1, -1> >]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Types = {Eigen::Transpose, -1, -1, 0, -1, -1> >, Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose, -1, -1> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 55 | using return_t stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Transpose, -1, -1, 0, -1, -1> >, Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose, -1, -1> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 65 | using return_t stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:121:0: required from ‘auto stan::math::subtract(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Matrix, -1, -1>; stan::require_all_rev_matrix_t* = 0]’ 121 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:4436:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4436 | stan::math::subtract( 4437 | stan::model::rvalue(Sigmainv, "Sigmainv", 4438 | stan::model::index_multi( 4439 | stan::model::rvalue(obsidx, "obsidx", 4440 | stan::model::index_min_max(1, Nobs))), 4441 | stan::model::index_multi( 4442 | stan::model::rvalue(obsidx, "obsidx", 4443 | stan::model::index_min_max(1, Nobs)))), 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:124:0: required from ‘auto stan::math::subtract(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Matrix, -1, -1>; stan::require_all_rev_matrix_t* = 0]’ 124 | arena_t ret((arena_a.val() - arena_b.val())); stanExports_stanmarg.h:4436:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4436 | stan::math::subtract( 4437 | stan::model::rvalue(Sigmainv, "Sigmainv", 4438 | stan::model::index_multi( 4439 | stan::model::rvalue(obsidx, "obsidx", 4440 | stan::model::index_min_max(1, Nobs))), 4441 | stan::model::index_multi( 4442 | stan::model::rvalue(obsidx, "obsidx", 4443 | stan::model::index_min_max(1, Nobs)))), 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Transpose, -1, -1, 0, -1, -1> >}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Transpose, -1, -1> >; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 55 | using return_t stanExports_stanmarg.h:3278:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3278 | stan::math::multiply(Sigma_yz, stan::math::transpose(Sigma_yz_zi))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 180 | (as_array_or_scalar(a) - b.val().array()).matrix())>; stanExports_stanmarg.h:3309:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > > >’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: recursively required by substitution of ‘template struct stan::plain_type, stan::is_eigen::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >]’ 22 | using plain_type_t = typename plain_type::type; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: required by substitution of ‘template using stan::plain_type_t = typename stan::plain_type::type [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >]’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:179:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 179 | using op_ret_type = plain_type_t::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:183:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 183 | arena_t ret(as_array_or_scalar(a) - arena_b.val().array()); stanExports_stanmarg.h:3309:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:28:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:28:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:33:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:33:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:33:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 147 | = decltype((a.val().array() + as_array_or_scalar(b)).matrix()); stanExports_stanmarg.h:3351:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3351 | stan::math::add(stan::model::deep_copy(Y2Yc), 3352 | stan::model::rvalue(cov_d, "cov_d", stan::model::index_uni(clz))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > > >’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 148 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:3351:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3351 | stan::math::add(stan::model::deep_copy(Y2Yc), 3352 | stan::model::rvalue(cov_d, "cov_d", stan::model::index_uni(clz))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 150 | arena_t ret(arena_a.val().array() + as_array_or_scalar(b)); stanExports_stanmarg.h:3351:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3351 | stan::math::add(stan::model::deep_copy(Y2Yc), 3352 | stan::model::rvalue(cov_d, "cov_d", stan::model::index_uni(clz))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3396:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3396 | stan::math::add(stan::math::multiply(nj, Sigma_b_z), Sigma_w), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 145 | arena_t res = arena_A.val() * arena_B.val().array(); stanExports_stanmarg.h:3396:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3396 | stan::math::add(stan::math::multiply(nj, Sigma_b_z), Sigma_w), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3396:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3396 | stan::math::add(stan::math::multiply(nj, Sigma_b_z), Sigma_w), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 163 | arena_B.adj().array() += arena_A * res.adj().array(); stanExports_stanmarg.h:3396:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3396 | stan::math::add(stan::math::multiply(nj, Sigma_b_z), Sigma_w), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 170 | arena_t res = arena_A.val() * arena_B.array(); stanExports_stanmarg.h:3396:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3396 | stan::math::add(stan::math::multiply(nj, Sigma_b_z), Sigma_w), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 172 | arena_A.adj() += (res.adj().array() * arena_B.array()).sum(); stanExports_stanmarg.h:3396:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3396 | stan::math::add(stan::math::multiply(nj, Sigma_b_z), Sigma_w), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:31:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, -1>; Mat2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 31 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:3419:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3419 | q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz)); stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:35:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, -1>; Mat2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 35 | arena_t ret(arena_m1.val().cwiseProduct(arena_m2.val())); stanExports_stanmarg.h:3419:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3419 | q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz)); stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:49:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, -1>; Mat2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 49 | arena_t ret(arena_m1.val().cwiseProduct(arena_m2)); stanExports_stanmarg.h:3419:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3419 | q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz)); stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:51:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, -1>; Mat2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 51 | arena_m1.adj().array() += arena_m2.array() * ret.adj().array(); stanExports_stanmarg.h:3419:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3419 | q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz)); stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:57:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, -1>; Mat2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 57 | arena_t ret(arena_m1.cwiseProduct(arena_m2.val())); stanExports_stanmarg.h:3419:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3419 | q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz)); stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:154:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 154 | (a.val().array() - as_array_or_scalar(b)).matrix())>; stanExports_stanmarg.h:3487:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3487 | stan::math::subtract(nperclus, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > > >’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: recursively required by substitution of ‘template struct stan::plain_type, stan::is_eigen::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > >]’ 22 | using plain_type_t = typename plain_type::type; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: required by substitution of ‘template using stan::plain_type_t = typename stan::plain_type::type [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > >]’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:153:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 153 | using op_ret_type = plain_type_t::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3487 | stan::math::subtract(nperclus, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:157:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 157 | arena_t ret(arena_a.val().array() - as_array_or_scalar(b)); stanExports_stanmarg.h:3487:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3487 | stan::math::subtract(nperclus, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::Matrix >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:31:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 31 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:3502:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3502 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:35:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 35 | arena_t ret(arena_m1.val().cwiseProduct(arena_m2.val())); stanExports_stanmarg.h:3502:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3502 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:49:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 49 | arena_t ret(arena_m1.val().cwiseProduct(arena_m2)); stanExports_stanmarg.h:3502:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3502 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:51:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 51 | arena_m1.adj().array() += arena_m2.array() * ret.adj().array(); stanExports_stanmarg.h:3502:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3502 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:57:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 57 | arena_t ret(arena_m1.cwiseProduct(arena_m2.val())); stanExports_stanmarg.h:3502:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3502 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >&):: [with auto:13 = const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >&)::; Args = {const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3507:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3507 | stan::math::add(stan::math::multiply(nperclus, (N_within + N_both)), 3508 | stan::math::multiply(stan::math::to_vector(clus_size_ns), N_between)), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 147 | = decltype((a.val().array() + as_array_or_scalar(b)).matrix()); stanExports_stanmarg.h:3507:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3507 | stan::math::add(stan::math::multiply(nperclus, (N_within + N_both)), 3508 | stan::math::multiply(stan::math::to_vector(clus_size_ns), N_between)), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 148 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:3507:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3507 | stan::math::add(stan::math::multiply(nperclus, (N_within + N_both)), 3508 | stan::math::multiply(stan::math::to_vector(clus_size_ns), N_between)), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 150 | arena_t ret(arena_a.val().array() + as_array_or_scalar(b)); stanExports_stanmarg.h:3507:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3507 | stan::math::add(stan::math::multiply(nperclus, (N_within + N_both)), 3508 | stan::math::multiply(stan::math::to_vector(clus_size_ns), N_between)), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_ldlt.hpp:32:0: required from ‘auto stan::math::mdivide_left_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0]’ 32 | check_multiplicable("mdivide_left_ldlt", "A", A.matrix().val(), "B", B); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_ldlt.hpp:41:0: required from ‘auto stan::math::mdivide_left_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0]’ 41 | arena_t res = A.ldlt().solve(arena_B.val()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_ldlt.hpp:45:0: required from ‘auto stan::math::mdivide_left_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0]’ 45 | promote_scalar_t adjB = ldlt_ptr->solve(res.adj()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:42:38: required from ‘struct stan::ref_type_if, -1>&, void>’ 42 | template match::MatchAtCompileTime | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:54:7: required by substitution of ‘template using stan::ref_type_t = typename stan::ref_type_if::type [with T = const Eigen::VectorBlock, -1>&]’ 54 | using ref_type_t = typename ref_type_if::type; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:17:24: required by substitution of ‘template stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::VectorBlock, -1>&]’ 17 | inline ref_type_t to_ref(T&& a) { | ^~~~~~ stanExports_stanmarg.h:4478:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4478 | const auto& xbar = stan::math::to_ref(xbar_arg__); stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:42:38: required from ‘struct stan::ref_type_if, -1, -1, false>&, void>’ 42 | template match::MatchAtCompileTime | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:54:7: required by substitution of ‘template using stan::ref_type_t = typename stan::ref_type_if::type [with T = const Eigen::Block, -1, -1, false>&]’ 54 | using ref_type_t = typename ref_type_if::type; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:17:24: required by substitution of ‘template stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Block, -1, -1, false>&]’ 17 | inline ref_type_t to_ref(T&& a) { | ^~~~~~ stanExports_stanmarg.h:4479:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4479 | const auto& S = stan::math::to_ref(S_arg__); stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, -1>&>(const Eigen::VectorBlock, -1>&):: [with auto:13 = const Eigen::VectorBlock, -1>]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::VectorBlock, -1>; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 180 | (as_array_or_scalar(a) - b.val().array()).matrix())>; stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > > >’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: recursively required by substitution of ‘template struct stan::plain_type, stan::is_eigen::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >]’ 22 | using plain_type_t = typename plain_type::type; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: required by substitution of ‘template using stan::plain_type_t = typename stan::plain_type::type [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >]’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:179:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::VectorBlock, -1>; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 179 | using op_ret_type = plain_type_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:183:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::VectorBlock, -1>; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 183 | arena_t ret(as_array_or_scalar(a) - arena_b.val().array()); stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Transpose, -1, 1, 0, -1, 1> >}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, 1>; T2 = Eigen::Transpose, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 36 | using return_t stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >&>(const Eigen::Transpose, -1, 1> >&)::::, const Eigen::Transpose, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >&>(const Eigen::Transpose, -1, 1> >&)::::, const Eigen::Transpose, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1> >&>(const Eigen::Transpose, -1, 1> >&)::::, const Eigen::Transpose, -1, 1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1> >&>(const Eigen::Transpose, -1, 1> >&)::::, const Eigen::Transpose, -1, 1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1> >&>(const Eigen::Transpose, -1, 1> >&)::::, const Eigen::Transpose, -1, 1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, 1> >&>(const Eigen::Transpose, -1, 1> >&):: [with auto:11 = const Eigen::Transpose, -1, 1> >]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Transpose, -1, 1, 0, -1, 1> >}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, 1>; T2 = Eigen::Transpose, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 55 | using return_t stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, 1>; T2 = Eigen::Transpose, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 57 | arena_t res = arena_A * arena_B.val_op(); stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Transpose, -1, 1, 0, -1, 1> >}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, 1>; T2 = Eigen::Transpose, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 65 | using return_t stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, -1, -1, false>&>(const Eigen::Block, -1, -1, false>&):: [with auto:13 = const Eigen::Block, -1, -1, false>]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4501:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4501:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > > > >’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Block, -1, -1, false>; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 148 | using ret_type = return_var_matrix_t; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0: required from ‘auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Block, -1, -1, false>; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 169 | return add(b, a); stanExports_stanmarg.h:4501:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, -1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4501:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&):: [with auto:11 = const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4497:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4497 | stan::math::elt_multiply( 4498 | stan::model::rvalue(Supdate, "Supdate", 4499 | stan::model::index_min_max(1, Nobs), 4500 | stan::model::index_min_max(1, Nobs)), 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >; Types = {Eigen::Block, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:31:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>; Mat2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 31 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:4497:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4497 | stan::math::elt_multiply( 4498 | stan::model::rvalue(Supdate, "Supdate", 4499 | stan::model::index_min_max(1, Nobs), 4500 | stan::model::index_min_max(1, Nobs)), 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&):: [with auto:11 = const Eigen::Block, -1, -1>, -1, -1, false>]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4497:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Matrix; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4497 | stan::math::elt_multiply( 4498 | stan::model::rvalue(Supdate, "Supdate", 4499 | stan::model::index_min_max(1, Nobs), 4500 | stan::model::index_min_max(1, Nobs)), 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14525:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14525 | multi_normal_suff( 14526 | stan::model::rvalue(YXbarstar, "YXbarstar", 14527 | stan::model::index_uni(mm), 14528 | stan::model::index_multi( 14529 | stan::model::rvalue(xdatidx, "xdatidx", 14530 | stan::model::index_min_max(1, 14531 | stan::model::rvalue(Nx, "Nx", 14532 | stan::model::index_uni(mm)))))), 14533 | stan::model::rvalue(Sstar, "Sstar", 14534 | stan::model::index_uni(mm), 14535 | stan::model::index_multi( 14536 | stan::model::rvalue(xdatidx, "xdatidx", 14537 | stan::model::index_min_max(1, 14538 | stan::model::rvalue(Nx, "Nx", 14539 | stan::model::index_uni(mm))))), 14540 | stan::model::index_multi( 14541 | stan::model::rvalue(xdatidx, "xdatidx", 14542 | stan::model::index_min_max(1, 14543 | stan::model::rvalue(Nx, "Nx", 14544 | stan::model::index_uni(mm)))))), 14545 | stan::model::rvalue(Mu, "Mu", 14546 | stan::model::index_uni(grpidx), 14547 | stan::model::index_multi( 14548 | stan::model::rvalue(xidx, "xidx", 14549 | stan::model::index_min_max(1, 14550 | stan::model::rvalue(Nx, "Nx", 14551 | stan::model::index_uni(mm)))))), 14552 | sig_inv_update( 14553 | stan::model::rvalue(Sigmainv, "Sigmainv", 14554 | stan::model::index_uni(mm)), xidx, 14555 | stan::model::rvalue(Nx, "Nx", 14556 | stan::model::index_uni(mm)), (p + q), 14557 | stan::model::rvalue(logdetSigma_grp, 14558 | "logdetSigma_grp", stan::model::index_uni(grpidx)), 14559 | pstream__), ((r2 - r1) + 1), pstream__))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >; Types = {Eigen::Block, -1, -1, 0, -1, -1>, -1, -1, false>, Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:31:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1>, -1, -1, false>; Mat2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 31 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:4497:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Matrix; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4497 | stan::math::elt_multiply( 4498 | stan::model::rvalue(Supdate, "Supdate", 4499 | stan::model::index_min_max(1, Nobs), 4500 | stan::model::index_min_max(1, Nobs)), 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14525:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14525 | multi_normal_suff( 14526 | stan::model::rvalue(YXbarstar, "YXbarstar", 14527 | stan::model::index_uni(mm), 14528 | stan::model::index_multi( 14529 | stan::model::rvalue(xdatidx, "xdatidx", 14530 | stan::model::index_min_max(1, 14531 | stan::model::rvalue(Nx, "Nx", 14532 | stan::model::index_uni(mm)))))), 14533 | stan::model::rvalue(Sstar, "Sstar", 14534 | stan::model::index_uni(mm), 14535 | stan::model::index_multi( 14536 | stan::model::rvalue(xdatidx, "xdatidx", 14537 | stan::model::index_min_max(1, 14538 | stan::model::rvalue(Nx, "Nx", 14539 | stan::model::index_uni(mm))))), 14540 | stan::model::index_multi( 14541 | stan::model::rvalue(xdatidx, "xdatidx", 14542 | stan::model::index_min_max(1, 14543 | stan::model::rvalue(Nx, "Nx", 14544 | stan::model::index_uni(mm)))))), 14545 | stan::model::rvalue(Mu, "Mu", 14546 | stan::model::index_uni(grpidx), 14547 | stan::model::index_multi( 14548 | stan::model::rvalue(xidx, "xidx", 14549 | stan::model::index_min_max(1, 14550 | stan::model::rvalue(Nx, "Nx", 14551 | stan::model::index_uni(mm)))))), 14552 | sig_inv_update( 14553 | stan::model::rvalue(Sigmainv, "Sigmainv", 14554 | stan::model::index_uni(mm)), xidx, 14555 | stan::model::rvalue(Nx, "Nx", 14556 | stan::model::index_uni(mm)), (p + q), 14557 | stan::model::rvalue(logdetSigma_grp, 14558 | "logdetSigma_grp", stan::model::index_uni(grpidx)), 14559 | pstream__), ((r2 - r1) + 1), pstream__))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1> >]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:58:64: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 58 | decltype(auto) y_val = to_ref(as_value_column_array_or_scalar(y_ref)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&):: [with auto:13 = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:60:68: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 60 | decltype(auto) sigma_val = to_ref(as_value_column_array_or_scalar(sigma_ref)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:54: required from ‘stan::math::inv, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&):: [with auto:220 = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]’ 55 | x, [](const auto& v) { return v.array().inverse(); }); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:76:68: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 76 | = to_ref_if::value>(inv(sigma_val)); | ~~~^~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 77 | const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma); | ~~~~~~~^~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 77 | const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:79:62: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 79 | = to_ref_if::value>(y_scaled * y_scaled); | ~~~~~~~~~^~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&):: [with auto:169 = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:87:20: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 87 | logp -= sum(log(sigma_val)) * N / math::size(sigma); | ~~~^~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:96:35: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 96 | partials<0>(ops_partials) = -scaled_diff; | ^~~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:45: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 99 | partials<2>(ops_partials) = inv_sigma * y_scaled_sq - inv_sigma; | ~~~~~~~~~~^~~~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:59: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 99 | partials<2>(ops_partials) = inv_sigma * y_scaled_sq - inv_sigma; | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:94:23: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 94 | logp = -sum(lgamma(alpha_val)) * N / math::size(alpha); | ~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:100:27: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 100 | logp += sum(alpha_val * log_beta) * N / max_size(alpha, beta); | ~~~~~~~~~~^~~~~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:102:44: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 102 | partials<1>(ops_partials) = log_beta + log_y - digamma(alpha_val); | ~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:102:61: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 102 | partials<1>(ops_partials) = log_beta + log_y - digamma(alpha_val); | ~~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:102:52: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 102 | partials<1>(ops_partials) = log_beta + log_y - digamma(alpha_val); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:106:28: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 106 | logp += sum((alpha_val - 1.0) * log_y) * N / max_size(alpha, y); | ~~~~~~~~~~~^~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:106:35: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 106 | logp += sum((alpha_val - 1.0) * log_y) * N / max_size(alpha, y); | ~~~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:109:26: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 109 | logp -= sum(beta_val * y_val) * N / max_size(beta, y); | ~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:113:44: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 113 | partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val; | ~~~~~~~~~~~^~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:113:49: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 113 | partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val; | ~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:113:57: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 113 | partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val; | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:116:43: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 116 | partials<2>(ops_partials) = alpha_val / beta_val - y_val; | ~~~~~~~~~~^~~~~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:116:54: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 116 | partials<2>(ops_partials) = alpha_val / beta_val - y_val; | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, void>::apply(const Eigen::Array&)::, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, void>::apply(const Eigen::Array&)::, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, void>::apply(const Eigen::Array&)::, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, void>::apply(const Eigen::Array&)::, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, void>::apply(const Eigen::Array&)::, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::log1m_fun; T = Eigen::Array]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:79:37: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 79 | const auto& log1m_y = to_ref(log1m(y_val)); | ~~~~~^~~~~~~ stanExports_stanmarg.h:14695:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14695 | lp_accum__.add((stan::math::beta_lpdf( 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14698 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:99:61: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 99 | = (alpha_val - 1) / y_val + (beta_val - 1) / (y_val - 1); | ~~~~~~~^~~~ stanExports_stanmarg.h:14695:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14695 | lp_accum__.add((stan::math::beta_lpdf( 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14698 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:99:52: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 99 | = (alpha_val - 1) / y_val + (beta_val - 1) / (y_val - 1); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ stanExports_stanmarg.h:14695:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14695 | lp_accum__.add((stan::math::beta_lpdf( 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14698 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:99:35: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 99 | = (alpha_val - 1) / y_val + (beta_val - 1) / (y_val - 1); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14695:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14695 | lp_accum__.add((stan::math::beta_lpdf( 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14698 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:105:23: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 105 | alpha_val + beta_val); | ~~~~~~~~~~^~~~~~~~~~ stanExports_stanmarg.h:14695:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14695 | lp_accum__.add((stan::math::beta_lpdf( 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14698 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:106:23: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 106 | logp += sum(lgamma(alpha_beta)) * N / max_size(alpha, beta); | ~~~~~~^~~~~~~~~~~~ stanExports_stanmarg.h:14695:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14695 | lp_accum__.add((stan::math::beta_lpdf( 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14698 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:110:64: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 110 | && !is_constant_all::value > (digamma(alpha_beta)); | ~~~~~~~^~~~~~~~~~~~ stanExports_stanmarg.h:14695:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14695 | lp_accum__.add((stan::math::beta_lpdf( 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14698 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:113:21: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 113 | = log_y + digamma_alpha_beta - digamma(alpha_val); | ~~~~~~^~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14695:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14695 | lp_accum__.add((stan::math::beta_lpdf( 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14698 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:113:42: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 113 | = log_y + digamma_alpha_beta - digamma(alpha_val); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14695:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14695 | lp_accum__.add((stan::math::beta_lpdf( 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14698 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_symmetric.hpp:41:29: required from ‘void stan::math::check_symmetric(const char*, const char*, const EigMat&) [with EigMat = Eigen::Ref, 0, Eigen::OuterStride<> >; stan::require_matrix_t* = 0]’ 41 | const auto& y_ref = to_ref(y); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:32:18: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 32 | check_symmetric("inverse_spd", "m", m_ref); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:16304:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16304 | stan::math::inverse_spd( 16305 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:463:34: required from ‘typename MatrixType::RealScalar Eigen::ColPivHouseholderQR::logAbsDeterminant() const [with _MatrixType = Eigen::Matrix; typename MatrixType::RealScalar = double]’ 463 | return m_qr.diagonal().cwiseAbs().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:51: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Diagonal, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Diagonal, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:463:42: required from ‘typename MatrixType::RealScalar Eigen::ColPivHouseholderQR::logAbsDeterminant() const [with _MatrixType = Eigen::Matrix; typename MatrixType::RealScalar = double]’ 463 | return m_qr.diagonal().cwiseAbs().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:51: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Diagonal, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Diagonal, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Diagonal, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Diagonal, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Diagonal, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:463:48: required from ‘typename MatrixType::RealScalar Eigen::ColPivHouseholderQR::logAbsDeterminant() const [with _MatrixType = Eigen::Matrix; typename MatrixType::RealScalar = double]’ 463 | return m_qr.diagonal().cwiseAbs().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:51: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:46:19: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]’ 46 | return llt.solve( | ~~~~~~~~~^ 47 | Eigen::Matrix, EigMat2::RowsAtCompileTime, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 48 | EigMat2::ColsAtCompileTime>(b)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:4445:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:16317:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16317 | sig_inv_update( 16318 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16319 | stan::model::index_uni( 16320 | stan::model::rvalue(grpnum, "grpnum", 16321 | stan::model::index_uni(patt)))), 16322 | stan::model::rvalue(Obsvar, "Obsvar", 16323 | stan::model::index_uni(patt), stan::model::index_omni()), 16324 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16325 | (p + q), 16326 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16327 | stan::model::index_uni( 16328 | stan::model::rvalue(grpnum, "grpnum", 16329 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4498:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Block, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4498 | stan::model::rvalue(Supdate, "Supdate", 4499 | stan::model::index_min_max(1, Nobs), 4500 | stan::model::index_min_max(1, Nobs)), stanExports_stanmarg.h:4825:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4825 | multi_normal_suff( 4826 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4827 | stan::model::index_multi( 4828 | stan::model::rvalue(Xvar, "Xvar", 4829 | stan::model::index_min_max(1, Nx)))), 4830 | stan::model::rvalue(cov_w, "cov_w", 4831 | stan::model::index_min_max(1, Nx), 4832 | stan::model::index_min_max(1, Nx)), 4833 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4834 | stan::model::index_multi( 4835 | stan::model::rvalue(Xvar, "Xvar", 4836 | stan::model::index_min_max(1, Nx)))), 4837 | stan::model::rvalue(cov_w_inv, "cov_w_inv", 4838 | stan::model::index_min_max(1, (Nx + 1)), 4839 | stan::model::index_min_max(1, (Nx + 1))), 4840 | stan::model::rvalue(cluster_size, "cluster_size", 4841 | stan::model::index_uni(cc)), pstream__)), stanExports_stanmarg.h:17723:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17723 | calc_log_lik_x( 17724 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17725 | stan::model::index_min_max(r2, (clusidx - 1))), 17726 | stan::model::rvalue(mnvecs, "mnvecs", 17727 | stan::model::index_uni(2)), 17728 | stan::model::rvalue(covmats, "covmats", 17729 | stan::model::index_uni(1)), 17730 | stan::model::rvalue(covmats, "covmats", 17731 | stan::model::index_uni(2)), 17732 | stan::model::rvalue(covmats, "covmats", 17733 | stan::model::index_uni(3)), 17734 | stan::model::rvalue(nclus, "nclus", 17735 | stan::model::index_uni(gg)), 17736 | stan::model::rvalue(cluster_size, "cluster_size", 17737 | stan::model::index_min_max(r2, (clusidx - 1))), 17738 | stan::model::rvalue(Xvar, "Xvar", 17739 | stan::model::index_uni(gg)), 17740 | stan::model::rvalue(Xbetvar, "Xbetvar", 17741 | stan::model::index_uni(gg)), 17742 | stan::model::rvalue(Nx, "Nx", 17743 | stan::model::index_uni(gg)), 17744 | stan::model::rvalue(Nx_between, "Nx_between", 17745 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1, false>; Mat2 = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:4501:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Block, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:4825:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4825 | multi_normal_suff( 4826 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4827 | stan::model::index_multi( 4828 | stan::model::rvalue(Xvar, "Xvar", 4829 | stan::model::index_min_max(1, Nx)))), 4830 | stan::model::rvalue(cov_w, "cov_w", 4831 | stan::model::index_min_max(1, Nx), 4832 | stan::model::index_min_max(1, Nx)), 4833 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4834 | stan::model::index_multi( 4835 | stan::model::rvalue(Xvar, "Xvar", 4836 | stan::model::index_min_max(1, Nx)))), 4837 | stan::model::rvalue(cov_w_inv, "cov_w_inv", 4838 | stan::model::index_min_max(1, (Nx + 1)), 4839 | stan::model::index_min_max(1, (Nx + 1))), 4840 | stan::model::rvalue(cluster_size, "cluster_size", 4841 | stan::model::index_uni(cc)), pstream__)), stanExports_stanmarg.h:17723:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17723 | calc_log_lik_x( 17724 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17725 | stan::model::index_min_max(r2, (clusidx - 1))), 17726 | stan::model::rvalue(mnvecs, "mnvecs", 17727 | stan::model::index_uni(2)), 17728 | stan::model::rvalue(covmats, "covmats", 17729 | stan::model::index_uni(1)), 17730 | stan::model::rvalue(covmats, "covmats", 17731 | stan::model::index_uni(2)), 17732 | stan::model::rvalue(covmats, "covmats", 17733 | stan::model::index_uni(3)), 17734 | stan::model::rvalue(nclus, "nclus", 17735 | stan::model::index_uni(gg)), 17736 | stan::model::rvalue(cluster_size, "cluster_size", 17737 | stan::model::index_min_max(r2, (clusidx - 1))), 17738 | stan::model::rvalue(Xvar, "Xvar", 17739 | stan::model::index_uni(gg)), 17740 | stan::model::rvalue(Xbetvar, "Xbetvar", 17741 | stan::model::index_uni(gg)), 17742 | stan::model::rvalue(Nx, "Nx", 17743 | stan::model::index_uni(gg)), 17744 | stan::model::rvalue(Nx_between, "Nx_between", 17745 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1, false>, -1, -1, false>; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 28 | return m1.cwiseProduct(m2); | ~~~~~~~~~~~~~~~^~~~ stanExports_stanmarg.h:4497:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Block, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4497 | stan::math::elt_multiply( 4498 | stan::model::rvalue(Supdate, "Supdate", 4499 | stan::model::index_min_max(1, Nobs), 4500 | stan::model::index_min_max(1, Nobs)), 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:4825:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4825 | multi_normal_suff( 4826 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4827 | stan::model::index_multi( 4828 | stan::model::rvalue(Xvar, "Xvar", 4829 | stan::model::index_min_max(1, Nx)))), 4830 | stan::model::rvalue(cov_w, "cov_w", 4831 | stan::model::index_min_max(1, Nx), 4832 | stan::model::index_min_max(1, Nx)), 4833 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4834 | stan::model::index_multi( 4835 | stan::model::rvalue(Xvar, "Xvar", 4836 | stan::model::index_min_max(1, Nx)))), 4837 | stan::model::rvalue(cov_w_inv, "cov_w_inv", 4838 | stan::model::index_min_max(1, (Nx + 1)), 4839 | stan::model::index_min_max(1, (Nx + 1))), 4840 | stan::model::rvalue(cluster_size, "cluster_size", 4841 | stan::model::index_uni(cc)), pstream__)), stanExports_stanmarg.h:17723:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17723 | calc_log_lik_x( 17724 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17725 | stan::model::index_min_max(r2, (clusidx - 1))), 17726 | stan::model::rvalue(mnvecs, "mnvecs", 17727 | stan::model::index_uni(2)), 17728 | stan::model::rvalue(covmats, "covmats", 17729 | stan::model::index_uni(1)), 17730 | stan::model::rvalue(covmats, "covmats", 17731 | stan::model::index_uni(2)), 17732 | stan::model::rvalue(covmats, "covmats", 17733 | stan::model::index_uni(3)), 17734 | stan::model::rvalue(nclus, "nclus", 17735 | stan::model::index_uni(gg)), 17736 | stan::model::rvalue(cluster_size, "cluster_size", 17737 | stan::model::index_min_max(r2, (clusidx - 1))), 17738 | stan::model::rvalue(Xvar, "Xvar", 17739 | stan::model::index_uni(gg)), 17740 | stan::model::rvalue(Xbetvar, "Xbetvar", 17741 | stan::model::index_uni(gg)), 17742 | stan::model::rvalue(Nx, "Nx", 17743 | stan::model::index_uni(gg)), 17744 | stan::model::rvalue(Nx_between, "Nx_between", 17745 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase&>(Eigen::Matrix&, const char*, const index_multi&, index_uni)::::, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase&>(Eigen::Matrix&, const char*, const index_multi&, index_uni)::::, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase&>(Eigen::Matrix&, const char*, const index_multi&, index_uni)::::, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&, index_uni)::::, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:470:0: required from ‘stan::model::rvalue&>(Eigen::Matrix&, const char*, const index_multi&, index_uni):: [with auto:770 = Eigen::Matrix]’ 469 | return Eigen::Matrix, Eigen::Dynamic, 1>:: 470 | NullaryExpr(row_idx.ns_.size(), 471 | [name, &row_idx, col_i = col_idx.n_ - 1, 472 | &x_ref](Eigen::Index i) { 473 | math::check_range("matrix[multi, uni] row indexing", 474 | name, x_ref.rows(), row_idx.ns_[i]); 475 | return x_ref.coeff(row_idx.ns_[i] - 1, col_i); 476 | }); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::model::rvalue&>(Eigen::Matrix&, const char*, const index_multi&, index_uni)::; Args = {Eigen::Matrix&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:467:0: required from ‘Eigen::Matrix::type, -1, 1> stan::model::rvalue(EigMat&&, const char*, const index_multi&, index_uni) [with EigMat = Eigen::Matrix&; stan::require_eigen_dense_dynamic_t* = 0; typename stan::value_type::type = double]’ 467 | return stan::math::make_holder( 468 | [name, &row_idx, col_idx](auto& x_ref) { 469 | return Eigen::Matrix, Eigen::Dynamic, 1>:: 470 | NullaryExpr(row_idx.ns_.size(), 471 | [name, &row_idx, col_i = col_idx.n_ - 1, 472 | &x_ref](Eigen::Index i) { 473 | math::check_range("matrix[multi, uni] row indexing", 474 | name, x_ref.rows(), row_idx.ns_[i]); 475 | return x_ref.coeff(row_idx.ns_[i] - 1, col_i); 476 | }); 477 | }, 478 | stan::math::to_ref(x)); stanExports_stanmarg.h:3204:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3204 | stan::model::rvalue(B_tilde, "B_tilde", 3205 | stan::model::index_multi(bidx), stan::model::index_uni(1))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose > > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_ldlt_factor.hpp:32:45: required from ‘void stan::math::check_ldlt_factor(const char*, const char*, LDLT_factor&) [with T = Eigen::Matrix]’ 32 | auto too_small = A.ldlt().vectorD().tail(1)(0); | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:73:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = double]’ 73 | check_ldlt_factor(function, "LDLT_Factor of random variable", ldlt_W); stanExports_stanmarg.h:18267:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18267 | stan::math::wishart_lpdf( 18268 | stan::math::multiply( 18269 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18270 | 1), 18271 | stan::model::rvalue(Sstar, "Sstar", 18272 | stan::model::index_uni(mm))), 18273 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18274 | 1), 18275 | stan::model::rvalue(Sigma, "Sigma", 18276 | stan::model::index_uni(mm))), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log, 0> > >(const Eigen::ArrayWrapper, 0> >&):: [with auto:169 = Eigen::ArrayWrapper, 0> >]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant_ldlt.hpp:22:17: required from ‘stan::value_type_t stan::math::log_determinant_ldlt(LDLT_factor&) [with T = Eigen::Matrix; stan::require_not_rev_matrix_t* = 0; stan::value_type_t = double]’ 22 | return sum(log(A.ldlt().vectorD().array())); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:88:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = double]’ 88 | lp -= 0.5 * nu_ref * log_determinant_ldlt(ldlt_S); stanExports_stanmarg.h:18267:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18267 | stan::math::wishart_lpdf( 18268 | stan::math::multiply( 18269 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18270 | 1), 18271 | stan::model::rvalue(Sstar, "Sstar", 18272 | stan::model::index_uni(mm))), 18273 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18274 | 1), 18275 | stan::model::rvalue(Sigma, "Sigma", 18276 | stan::model::index_uni(mm))), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:24: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 367 | matA.col(i).coeffRef(i+1) = 1; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:44:37: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 44 | acc.tail(pull) = 1.0 - temp.square(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:44:24: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 44 | acc.tail(pull) = 1.0 - temp.square(); | ~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:49:33: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 49 | temp /= sqrt(acc.tail(pull) / acc(i)); | ~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sqrt.hpp:58:51: required from ‘stan::math::sqrt, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >(const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >&):: [with auto:218 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 58 | x, [](const auto& v) { return v.array().sqrt(); }); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:22: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 53 | CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log(); // now unbounded | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:37: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 53 | CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log(); // now unbounded | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:30: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 53 | CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log(); // now unbounded | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:49: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 53 | CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log(); // now unbounded | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:14: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 53 | CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log(); // now unbounded | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/transpose.hpp:18:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14525:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14525 | multi_normal_suff( 14526 | stan::model::rvalue(YXbarstar, "YXbarstar", 14527 | stan::model::index_uni(mm), 14528 | stan::model::index_multi( 14529 | stan::model::rvalue(xdatidx, "xdatidx", 14530 | stan::model::index_min_max(1, 14531 | stan::model::rvalue(Nx, "Nx", 14532 | stan::model::index_uni(mm)))))), 14533 | stan::model::rvalue(Sstar, "Sstar", 14534 | stan::model::index_uni(mm), 14535 | stan::model::index_multi( 14536 | stan::model::rvalue(xdatidx, "xdatidx", 14537 | stan::model::index_min_max(1, 14538 | stan::model::rvalue(Nx, "Nx", 14539 | stan::model::index_uni(mm))))), 14540 | stan::model::index_multi( 14541 | stan::model::rvalue(xdatidx, "xdatidx", 14542 | stan::model::index_min_max(1, 14543 | stan::model::rvalue(Nx, "Nx", 14544 | stan::model::index_uni(mm)))))), 14545 | stan::model::rvalue(Mu, "Mu", 14546 | stan::model::index_uni(grpidx), 14547 | stan::model::index_multi( 14548 | stan::model::rvalue(xidx, "xidx", 14549 | stan::model::index_min_max(1, 14550 | stan::model::rvalue(Nx, "Nx", 14551 | stan::model::index_uni(mm)))))), 14552 | sig_inv_update( 14553 | stan::model::rvalue(Sigmainv, "Sigmainv", 14554 | stan::model::index_uni(mm)), xidx, 14555 | stan::model::rvalue(Nx, "Nx", 14556 | stan::model::index_uni(mm)), (p + q), 14557 | stan::model::rvalue(logdetSigma_grp, 14558 | "logdetSigma_grp", stan::model::index_uni(grpidx)), 14559 | pstream__), ((r2 - r1) + 1), pstream__))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14525:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14525 | multi_normal_suff( 14526 | stan::model::rvalue(YXbarstar, "YXbarstar", 14527 | stan::model::index_uni(mm), 14528 | stan::model::index_multi( 14529 | stan::model::rvalue(xdatidx, "xdatidx", 14530 | stan::model::index_min_max(1, 14531 | stan::model::rvalue(Nx, "Nx", 14532 | stan::model::index_uni(mm)))))), 14533 | stan::model::rvalue(Sstar, "Sstar", 14534 | stan::model::index_uni(mm), 14535 | stan::model::index_multi( 14536 | stan::model::rvalue(xdatidx, "xdatidx", 14537 | stan::model::index_min_max(1, 14538 | stan::model::rvalue(Nx, "Nx", 14539 | stan::model::index_uni(mm))))), 14540 | stan::model::index_multi( 14541 | stan::model::rvalue(xdatidx, "xdatidx", 14542 | stan::model::index_min_max(1, 14543 | stan::model::rvalue(Nx, "Nx", 14544 | stan::model::index_uni(mm)))))), 14545 | stan::model::rvalue(Mu, "Mu", 14546 | stan::model::index_uni(grpidx), 14547 | stan::model::index_multi( 14548 | stan::model::rvalue(xidx, "xidx", 14549 | stan::model::index_min_max(1, 14550 | stan::model::rvalue(Nx, "Nx", 14551 | stan::model::index_uni(mm)))))), 14552 | sig_inv_update( 14553 | stan::model::rvalue(Sigmainv, "Sigmainv", 14554 | stan::model::index_uni(mm)), xidx, 14555 | stan::model::rvalue(Nx, "Nx", 14556 | stan::model::index_uni(mm)), (p + q), 14557 | stan::model::rvalue(logdetSigma_grp, 14558 | "logdetSigma_grp", stan::model::index_uni(grpidx)), 14559 | pstream__), ((r2 - r1) + 1), pstream__))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 77 | const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma); | ~~~~~~~^~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 77 | const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:94:50: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 94 | >= 2>(inv_sigma * y_scaled); | ~~~~~~~~~~^~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:96:35: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 96 | partials<0>(ops_partials) = -scaled_diff; | ^~~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:45: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 99 | partials<2>(ops_partials) = inv_sigma * y_scaled_sq - inv_sigma; | ~~~~~~~~~~^~~~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:59: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 99 | partials<2>(ops_partials) = inv_sigma * y_scaled_sq - inv_sigma; | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log > >(const Eigen::ArrayWrapper >&):: [with auto:169 = Eigen::ArrayWrapper >]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:109:26: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 109 | logp -= sum(beta_val * y_val) * N / max_size(beta, y); | ~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:113:49: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 113 | partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val; | ~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:113:57: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 113 | partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val; | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:116:54: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 116 | partials<2>(ops_partials) = alpha_val / beta_val - y_val; | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >&):: [with auto:13 = const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >&)::; Args = {const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14695:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14695 | lp_accum__.add((stan::math::beta_lpdf( 14696 | stan::math::multiply(.5, 14697 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14698 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 199 | * CubicInterp(_gk_1.dot(_pk_1), _alphak_1, _fk - _fk_1, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector, -1, -1>, std::allocator, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value; Sizes = {int}; stan::require_std_vector_t* = 0; T = stan::math::var_value; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:12986:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12984 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 12985 | std::vector>, 12986 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 12987 | Psi_r_mat_1_3dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = Eigen::Matrix, -1, -1>; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector, -1, -1>, std::allocator, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value; Sizes = {int}; stan::require_std_vector_t* = 0; T = stan::math::var_value; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:12986:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12984 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 12985 | std::vector>, 12986 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 12987 | Psi_r_mat_1_3dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:0: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector, -1, -1>, std::allocator, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value; Sizes = {int}; stan::require_std_vector_t* = 0; T = stan::math::var_value; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:12986:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12984 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 12985 | std::vector>, 12986 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 12987 | Psi_r_mat_1_3dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace.hpp:26:0: required from ‘auto stan::math::trace(const T&) [with T = Eigen::Matrix, -1, -1>; stan::require_rev_matrix_t* = 0]’ 26 | return make_callback_var(arena_m.val_op().trace(), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace_inv_quad_form_ldlt.hpp:41:0: required from ‘stan::math::var stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::CwiseBinaryOp, var_value >, const Eigen::Matrix, -1, 1>, const Eigen::Matrix, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0; var = var_value]’ 41 | auto AsolveB = to_arena(A.ldlt().solve(arena_B.val())); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace_inv_quad_form_ldlt.hpp:43:0: required from ‘stan::math::var stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::CwiseBinaryOp, var_value >, const Eigen::Matrix, -1, 1>, const Eigen::Matrix, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0; var = var_value]’ 43 | var res = (arena_B.val_op().transpose() * AsolveB).trace(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace_inv_quad_form_ldlt.hpp:46:0: required from ‘stan::math::var stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::CwiseBinaryOp, var_value >, const Eigen::Matrix, -1, 1>, const Eigen::Matrix, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0; var = var_value]’ 46 | arena_A.adj() += -res.adj() * AsolveB * AsolveB.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace_inv_quad_form_ldlt.hpp:55:0: required from ‘stan::math::var stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::CwiseBinaryOp, var_value >, const Eigen::Matrix, -1, 1>, const Eigen::Matrix, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0; var = var_value]’ 55 | auto AsolveB = to_arena(A.ldlt().solve(value_of(B_ref))); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace_inv_quad_form_ldlt.hpp:57:0: required from ‘stan::math::var stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::CwiseBinaryOp, var_value >, const Eigen::Matrix, -1, 1>, const Eigen::Matrix, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0; var = var_value]’ 57 | var res = (value_of(B_ref).transpose() * AsolveB).trace(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:27: required from ‘stan::math::value_of_rec, -1, -1>&>(const Eigen::Matrix, -1, -1>&):: [with auto:1 = const Eigen::Matrix, -1, -1>]’ 110 | return m.unaryExpr([](auto x) { return value_of_rec(x); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/lkj_corr_lpdf.hpp:55:20: required from ‘stan::return_type_t stan::math::lkj_corr_lpdf(const T_y&, const T_shape&) [with bool propto = false; T_y = Eigen::Matrix, -1, -1>; T_shape = int; stan::return_type_t = var_value]’ 55 | check_corr_matrix(function, "Correlation matrix", y_ref); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14715:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14715 | lp_accum__.add(stan::math::lkj_corr_lpdf( 14716 | stan::model::rvalue(Psi_r_mat_1, 14717 | "Psi_r_mat_1", 14718 | stan::model::index_uni(blkidx)), 14719 | stan::model::rvalue(blkse, "blkse", 14720 | stan::model::index_uni(k), 14721 | stan::model::index_uni(7)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:135:0: required from ‘stan::math::var stan::math::accumulator::type>::value, void>::type>::sum() const [with T = stan::math::var_value; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = stan::math::var_value; stan::math::var = stan::math::var_value]’ 135 | inline var sum() const { return stan::math::sum(buf_); } stanExports_stanmarg.h:14942:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14942 | return lp_accum__.sum(); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:24: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::VectorBlock, -1>; T_loc = Eigen::VectorBlock, -1>; T_covar = Eigen::Block, -1, -1, false>; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:4849:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4849 | stan::math::multi_normal_lpdf( 4850 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4851 | stan::model::index_min_max(1, Nx_between)), 4852 | stan::model::rvalue(ov_mean_d, "ov_mean_d", 4853 | stan::model::index_min_max(1, Nx_between)), 4854 | stan::model::rvalue(cov_mean_d, "cov_mean_d", 4855 | stan::model::index_min_max(1, Nx_between), 4856 | stan::model::index_min_max(1, Nx_between)))), stanExports_stanmarg.h:17723:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17723 | calc_log_lik_x( 17724 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17725 | stan::model::index_min_max(r2, (clusidx - 1))), 17726 | stan::model::rvalue(mnvecs, "mnvecs", 17727 | stan::model::index_uni(2)), 17728 | stan::model::rvalue(covmats, "covmats", 17729 | stan::model::index_uni(1)), 17730 | stan::model::rvalue(covmats, "covmats", 17731 | stan::model::index_uni(2)), 17732 | stan::model::rvalue(covmats, "covmats", 17733 | stan::model::index_uni(3)), 17734 | stan::model::rvalue(nclus, "nclus", 17735 | stan::model::index_uni(gg)), 17736 | stan::model::rvalue(cluster_size, "cluster_size", 17737 | stan::model::index_min_max(r2, (clusidx - 1))), 17738 | stan::model::rvalue(Xvar, "Xvar", 17739 | stan::model::index_uni(gg)), 17740 | stan::model::rvalue(Xbetvar, "Xbetvar", 17741 | stan::model::index_uni(gg)), 17742 | stan::model::rvalue(Nx, "Nx", 17743 | stan::model::index_uni(gg)), 17744 | stan::model::rvalue(Nx_between, "Nx_between", 17745 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_left_ldlt.hpp:37:24: required from ‘Eigen::Matrix::type, -1, EigMat::ColsAtCompileTime> stan::math::mdivide_left_ldlt(LDLT_factor&, const EigMat&) [with T = Eigen::Matrix; EigMat = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_any_not_t::type>, stan::is_fvar::type, void> >* = 0; typename stan::return_type::type = double]’ 37 | return A.ldlt().solve( | ~~~~~~~~~~~~~~^ 38 | Eigen::Matrix, EigMat::RowsAtCompileTime, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 39 | EigMat::ColsAtCompileTime>(b)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 372 | hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive, -1, 1> >(const char*, const char*, const Eigen::Matrix, -1, 1>&)::; T = Eigen::Matrix, -1, 1>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from ‘void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix, -1, 1>]’ 29 | elementwise_check([](double x) { return x > 0; }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | "positive"); | ~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:42:17: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix, -1, -1>; typename stan::value_type::type = var_value]’ 42 | check_positive("inverse_spd", "matrix not positive definite", diag_ldlt); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14139:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14139 | stan::math::inverse_spd( 14140 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:634:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:88:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 88 | lp -= 0.5 * nu_ref * log_determinant_ldlt(ldlt_S); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite, -1, 1> >(const char*, const char*, const Eigen::Matrix, -1, 1>&)::; T = Eigen::Matrix, -1, 1>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix, -1, 1>]’ 29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | y, "finite"); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:71:17: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 71 | check_finite(function, "Location parameter", mu_vec[i]); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, -1, 1> >(const char*, const char*, const Eigen::Matrix, -1, 1>&)::; T = Eigen::Matrix, -1, 1>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix, -1, 1>]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:72:18: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 72 | check_not_nan(function, "Random variable", y_vec[i]); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace_inv_quad_form_ldlt.hpp:43:0: required from ‘stan::math::var stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::CwiseBinaryOp, var_value >, const Eigen::Matrix, -1, 1>, const Eigen::Matrix, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0; var = var_value]’ 43 | var res = (arena_B.val_op().transpose() * AsolveB).trace(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace_inv_quad_form_ldlt.hpp:57:0: required from ‘stan::math::var stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::CwiseBinaryOp, var_value >, const Eigen::Matrix, -1, 1>, const Eigen::Matrix, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0; var = var_value]’ 57 | var res = (value_of(B_ref).transpose() * AsolveB).trace(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 62 | check_not_nan(function, "Random variable", y_val); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Array]’ 29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | y, "finite"); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:63:15: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 63 | check_finite(function, "Location parameter", mu_val); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from ‘void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]’ 29 | elementwise_check([](double x) { return x > 0; }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | "positive"); | ~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:64:17: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 64 | check_positive(function, "Scale parameter", sigma_val); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:0: required from ‘void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]’ 67 | x.adj().array() += z.adj() * y.array(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:0: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:105:28: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 105 | return ops_partials.build(logp); | ~~~~~~~~~~~~~~~~~~^~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:0: required from ‘void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]’ 67 | x.adj().array() += z.adj() * y.array(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:0: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:105:28: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 105 | return ops_partials.build(logp); | ~~~~~~~~~~~~~~~~~~^~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive_finite >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_positive_finite.hpp:24:20: required from ‘void stan::math::check_positive_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Array]’ 24 | elementwise_check([](double x) { return x > 0 && std::isfinite(x); }, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | function, name, y, "positive finite"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:71:24: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 71 | check_positive_finite(function, "Random variable", y_val); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive_finite, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_positive_finite.hpp:24:20: required from ‘void stan::math::check_positive_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]’ 24 | elementwise_check([](double x) { return x > 0 && std::isfinite(x); }, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | function, name, y, "positive finite"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:72:24: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 72 | check_positive_finite(function, "Shape parameter", alpha_val); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 91 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite, -1> >(const char*, const char*, const Eigen::VectorBlock, -1>&)::; T = Eigen::VectorBlock, -1>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::VectorBlock, -1>]’ 29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | y, "finite"); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:71:17: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::VectorBlock, -1>; T_loc = Eigen::VectorBlock, -1>; T_covar = Eigen::Block, -1, -1, false>; stan::return_type_t = double]’ 71 | check_finite(function, "Location parameter", mu_vec[i]); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:4849:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4849 | stan::math::multi_normal_lpdf( 4850 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4851 | stan::model::index_min_max(1, Nx_between)), 4852 | stan::model::rvalue(ov_mean_d, "ov_mean_d", 4853 | stan::model::index_min_max(1, Nx_between)), 4854 | stan::model::rvalue(cov_mean_d, "cov_mean_d", 4855 | stan::model::index_min_max(1, Nx_between), 4856 | stan::model::index_min_max(1, Nx_between)))), stanExports_stanmarg.h:17723:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17723 | calc_log_lik_x( 17724 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17725 | stan::model::index_min_max(r2, (clusidx - 1))), 17726 | stan::model::rvalue(mnvecs, "mnvecs", 17727 | stan::model::index_uni(2)), 17728 | stan::model::rvalue(covmats, "covmats", 17729 | stan::model::index_uni(1)), 17730 | stan::model::rvalue(covmats, "covmats", 17731 | stan::model::index_uni(2)), 17732 | stan::model::rvalue(covmats, "covmats", 17733 | stan::model::index_uni(3)), 17734 | stan::model::rvalue(nclus, "nclus", 17735 | stan::model::index_uni(gg)), 17736 | stan::model::rvalue(cluster_size, "cluster_size", 17737 | stan::model::index_min_max(r2, (clusidx - 1))), 17738 | stan::model::rvalue(Xvar, "Xvar", 17739 | stan::model::index_uni(gg)), 17740 | stan::model::rvalue(Xbetvar, "Xbetvar", 17741 | stan::model::index_uni(gg)), 17742 | stan::model::rvalue(Nx, "Nx", 17743 | stan::model::index_uni(gg)), 17744 | stan::model::rvalue(Nx_between, "Nx_between", 17745 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase, -1, 1, false> >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, -1> >(const char*, const char*, const Eigen::VectorBlock, -1>&)::; T = Eigen::VectorBlock, -1>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::VectorBlock, -1>]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:72:18: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::VectorBlock, -1>; T_loc = Eigen::VectorBlock, -1>; T_covar = Eigen::Block, -1, -1, false>; stan::return_type_t = double]’ 72 | check_not_nan(function, "Random variable", y_vec[i]); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:4849:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4849 | stan::math::multi_normal_lpdf( 4850 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4851 | stan::model::index_min_max(1, Nx_between)), 4852 | stan::model::rvalue(ov_mean_d, "ov_mean_d", 4853 | stan::model::index_min_max(1, Nx_between)), 4854 | stan::model::rvalue(cov_mean_d, "cov_mean_d", 4855 | stan::model::index_min_max(1, Nx_between), 4856 | stan::model::index_min_max(1, Nx_between)))), stanExports_stanmarg.h:17723:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17723 | calc_log_lik_x( 17724 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17725 | stan::model::index_min_max(r2, (clusidx - 1))), 17726 | stan::model::rvalue(mnvecs, "mnvecs", 17727 | stan::model::index_uni(2)), 17728 | stan::model::rvalue(covmats, "covmats", 17729 | stan::model::index_uni(1)), 17730 | stan::model::rvalue(covmats, "covmats", 17731 | stan::model::index_uni(2)), 17732 | stan::model::rvalue(covmats, "covmats", 17733 | stan::model::index_uni(3)), 17734 | stan::model::rvalue(nclus, "nclus", 17735 | stan::model::index_uni(gg)), 17736 | stan::model::rvalue(cluster_size, "cluster_size", 17737 | stan::model::index_min_max(r2, (clusidx - 1))), 17738 | stan::model::rvalue(Xvar, "Xvar", 17739 | stan::model::index_uni(gg)), 17740 | stan::model::rvalue(Xbetvar, "Xbetvar", 17741 | stan::model::index_uni(gg)), 17742 | stan::model::rvalue(Nx, "Nx", 17743 | stan::model::index_uni(gg)), 17744 | stan::model::rvalue(Nx_between, "Nx_between", 17745 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase, -1, 1, false> >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, 0>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, 0>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_ldlt_factor.hpp:32:48: required from ‘void stan::math::check_ldlt_factor(const char*, const char*, LDLT_factor&) [with T = Eigen::Matrix]’ 32 | auto too_small = A.ldlt().vectorD().tail(1)(0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:73:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = double]’ 73 | check_ldlt_factor(function, "LDLT_Factor of random variable", ldlt_W); stanExports_stanmarg.h:18267:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18267 | stan::math::wishart_lpdf( 18268 | stan::math::multiply( 18269 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18270 | 1), 18271 | stan::model::rvalue(Sstar, "Sstar", 18272 | stan::model::index_uni(mm))), 18273 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18274 | 1), 18275 | stan::model::rvalue(Sigma, "Sigma", 18276 | stan::model::index_uni(mm))), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]’ 268 | res = func(res,eval.coeff(index)); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here 106 | return x.cwiseAbs().rowwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:46: required from ‘stan::math::matrix_d stan::math::multiply_lower_tri_self_transpose(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_matrix_dynamic_t* = 0; stan::require_not_st_autodiff* = 0; matrix_d = Eigen::Matrix]’ 35 | LLt(m, m) = Lt.col(m).head(k).squaredNorm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:43: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = mul_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = mul_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from ‘Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Derived = Eigen::Block, -1, 1, false>]’ 207 | call_assignment(derived(), other.derived(), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:69:20: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 69 | acc.tail(pull) *= T_scalar(1.0) - temp.square(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 32 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:45:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int]’ 45 | return read_corr_matrix(corr_constrain(x), k); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:949:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 949 | return corr_matrix_constrain( 950 | this->read>((k * (k - 1)) / 2), 951 | k); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block > >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block > >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block > >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block > >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block > >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block > >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Transpose > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan > >(const char*, const char*, const Eigen::ArrayWrapper >&)::; T = Eigen::ArrayWrapper >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper >]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 62 | check_not_nan(function, "Random variable", y_val); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase > >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite > >(const char*, const char*, const Eigen::ArrayWrapper >&)::; T = Eigen::ArrayWrapper >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper >]’ 29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | y, "finite"); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:63:15: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 63 | check_finite(function, "Location parameter", mu_val); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase > >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive_finite > >(const char*, const char*, const Eigen::ArrayWrapper >&)::; T = Eigen::ArrayWrapper >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_positive_finite.hpp:24:20: required from ‘void stan::math::check_positive_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper >]’ 24 | elementwise_check([](double x) { return x > 0 && std::isfinite(x); }, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | function, name, y, "positive finite"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:71:24: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 71 | check_positive_finite(function, "Random variable", y_val); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase > >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:0: required from ‘void stan::math::internal::quad_form_vari_alloc::compute(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 25 | matrix_d M = 0.5 * (Cd + Cd.transpose()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:40:0: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form_sym.hpp:37:0: required from ‘auto stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix, -1, -1>; EigMat2 = Eigen::Matrix, -1, -1>; stan::require_all_eigen_t* = 0; stan::require_any_vt_var* = 0]’ 37 | return quad_form(A_ref, B, true); stanExports_stanmarg.h:13579:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13579 | stan::math::quad_form_sym( 13580 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 13581 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, -1, -1> >(const char*, const char*, const Eigen::Matrix, -1, -1>&)::; T = Eigen::Matrix, -1, -1>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit))))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix, -1, -1>]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:161:0: required from ‘Eigen::Matrix, EigMat1::RowsAtCompileTime, EigMat2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix, -1, -1>; EigMat2 = Eigen::Matrix, -1, -1>; stan::require_all_eigen_matrix_base_vt* = 0]’ 161 | check_not_nan(function, "A", A_ref); stanExports_stanmarg.h:4445:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]’ 478 | return Scalar(derived().redux(Eigen::internal::scalar_sum_op())) / Scalar(this->size()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mean.hpp:25:73: required from ‘stan::math::mean >(const std::vector&):: [with auto:229 = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 25 | [](const auto& a) { return a.mean(); }); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::mean >(const std::vector&)::; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 93 | return f(x); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:158:45: required from ‘static auto stan::math::apply_vector_unary::type, void>, stan::is_stan_scalar::type> >::value>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::mean >(const std::vector&)::; T = std::vector]’ 158 | return apply_vector_unary::reduce(as_column_vector_or_scalar(x), f); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mean.hpp:24:39: required from ‘stan::return_type_t stan::math::mean(const T&) [with T = std::vector; stan::require_container_t* = 0; stan::return_type_t = double]’ 24 | return apply_vector_unary::reduce(m, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 25 | [](const auto& a) { return a.mean(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17288:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17288 | stan::math::mean( 17289 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17290 | stan::model::index_min_max(r1, ((r1 + 17291 | stan::model::rvalue(cluster_size, "cluster_size", 17292 | stan::model::index_uni(clusidx))) - 1)), 17293 | stan::model::index_uni(jj))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4496:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Block, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4496 | ((stan::math::sum( 4497 | stan::math::elt_multiply( 4498 | stan::model::rvalue(Supdate, "Supdate", 4499 | stan::model::index_min_max(1, Nobs), 4500 | stan::model::index_min_max(1, Nobs)), 4501 | stan::math::add(S, 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:4825:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4825 | multi_normal_suff( 4826 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4827 | stan::model::index_multi( 4828 | stan::model::rvalue(Xvar, "Xvar", 4829 | stan::model::index_min_max(1, Nx)))), 4830 | stan::model::rvalue(cov_w, "cov_w", 4831 | stan::model::index_min_max(1, Nx), 4832 | stan::model::index_min_max(1, Nx)), 4833 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4834 | stan::model::index_multi( 4835 | stan::model::rvalue(Xvar, "Xvar", 4836 | stan::model::index_min_max(1, Nx)))), 4837 | stan::model::rvalue(cov_w_inv, "cov_w_inv", 4838 | stan::model::index_min_max(1, (Nx + 1)), 4839 | stan::model::index_min_max(1, (Nx + 1))), 4840 | stan::model::rvalue(cluster_size, "cluster_size", 4841 | stan::model::index_uni(cc)), pstream__)), stanExports_stanmarg.h:17723:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17723 | calc_log_lik_x( 17724 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17725 | stan::model::index_min_max(r2, (clusidx - 1))), 17726 | stan::model::rvalue(mnvecs, "mnvecs", 17727 | stan::model::index_uni(2)), 17728 | stan::model::rvalue(covmats, "covmats", 17729 | stan::model::index_uni(1)), 17730 | stan::model::rvalue(covmats, "covmats", 17731 | stan::model::index_uni(2)), 17732 | stan::model::rvalue(covmats, "covmats", 17733 | stan::model::index_uni(3)), 17734 | stan::model::rvalue(nclus, "nclus", 17735 | stan::model::index_uni(gg)), 17736 | stan::model::rvalue(cluster_size, "cluster_size", 17737 | stan::model::index_min_max(r2, (clusidx - 1))), 17738 | stan::model::rvalue(Xvar, "Xvar", 17739 | stan::model::index_uni(gg)), 17740 | stan::model::rvalue(Xbetvar, "Xbetvar", 17741 | stan::model::index_uni(gg)), 17742 | stan::model::rvalue(Nx, "Nx", 17743 | stan::model::index_uni(gg)), 17744 | stan::model::rvalue(Nx_between, "Nx_between", 17745 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:0: required from ‘int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; Eigen::MatrixXd = Eigen::Matrix]’ 72 | Eigen::Map(&row[0], draws.cols()) = draws.row(i); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1253:0: required from ‘SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1253 | ret = stan::services::standalone_generate(model_, draws, 1254 | Rcpp::as(seed), interrupt, logger, *sample_writer_ptr); stanExports_stanmarg.cc:30:0: required from here 30 | .method("standalone_gqs", &rstan::stan_fit ::standalone_gqs) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here 28 | m2_ += (q - m_) * delta.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here 28 | m2_ += (q - m_) * delta.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 306 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:37:52: required from ‘stan::math::matrix_d stan::math::multiply_lower_tri_self_transpose(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_matrix_dynamic_t* = 0; stan::require_not_st_autodiff* = 0; matrix_d = Eigen::Matrix]’ 37 | LLt(n, m) = LLt(m, n) = Lt.col(m).head(k).dot(Lt.col(n).head(k)); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:43: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 1626 | typedef typename XprType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 1626 | typedef typename XprType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>, -1, 1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::VectorBlock, -1, 1, true>, -1>; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ stanExports_stanmarg.h:4337:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4337 | stan::math::sum( 4338 | stan::model::rvalue(YXfull, "YXfull", 4339 | stan::model::index_min_max(r1, r2), stan::model::index_uni(i)))), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ stanExports_stanmarg.h:3419:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3419 | q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz)); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:53: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from ‘Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]’ 159 | return CommaInitializer(*static_cast(this), other); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from ‘Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]’ 102 | result << A.template cast(), B; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 29 | ArrayBT b_array = append_row(as_array_or_scalar(b), 1.0); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 199 | * CubicInterp(_gk_1.dot(_pk_1), _alphak_1, _fk - _fk_1, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:73:0: required from ‘void stan::math::accumulator::type>::value, void>::type>::add(const S&) [with S = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_matrix_t* = 0; T = stan::math::var_value; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = stan::math::var_value]’ 73 | buf_.push_back(stan::math::sum(m)); stanExports_stanmarg.h:14316:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14316 | lp_accum__.add(stan::math::minus(log_lik_x)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:82:38: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 82 | T_partials_return logp = -0.5 * sum(y_scaled_sq); | ~~~^~~~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:87:16: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 87 | logp -= sum(log(sigma_val)) * N / math::size(sigma); | ~~~^~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14607:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14607 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14608 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:100:16: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 100 | logp += sum(alpha_val * log_beta) * N / max_size(alpha, beta); | ~~~^~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:106:16: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 106 | logp += sum((alpha_val - 1.0) * log_y) * N / max_size(alpha, y); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:109:16: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 109 | logp -= sum(beta_val * y_val) * N / max_size(beta, y); | ~~~^~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 1; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/append_col.hpp:49:26: required from ‘auto stan::math::append_col(const T1&, const T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; = void]’ 49 | result.leftCols(Acols) = A.template cast(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:2847:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type>::type, -1, -1> model_stanmarg_namespace::calc_B_tilde(const T0__&, const T1__&, const std::vector&, const int&, std::ostream*) [with T0__ = Eigen::Matrix; T1__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 2847 | stan::model::assign(out, stan::math::append_col(mu2, sig2), stanExports_stanmarg.h:17229:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17229 | calc_B_tilde( 17230 | stan::model::rvalue(Sigma_c, "Sigma_c", 17231 | stan::model::index_uni(gg)), YXstar_rep_c, ov_idx2, 17232 | p_tilde, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:53: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::VectorBlock, -1>; T_loc = Eigen::VectorBlock, -1>; T_covar = Eigen::Block, -1, -1, false>; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:4849:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4849 | stan::math::multi_normal_lpdf( 4850 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4851 | stan::model::index_min_max(1, Nx_between)), 4852 | stan::model::rvalue(ov_mean_d, "ov_mean_d", 4853 | stan::model::index_min_max(1, Nx_between)), 4854 | stan::model::rvalue(cov_mean_d, "cov_mean_d", 4855 | stan::model::index_min_max(1, Nx_between), 4856 | stan::model::index_min_max(1, Nx_between)))), stanExports_stanmarg.h:17723:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17723 | calc_log_lik_x( 17724 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17725 | stan::model::index_min_max(r2, (clusidx - 1))), 17726 | stan::model::rvalue(mnvecs, "mnvecs", 17727 | stan::model::index_uni(2)), 17728 | stan::model::rvalue(covmats, "covmats", 17729 | stan::model::index_uni(1)), 17730 | stan::model::rvalue(covmats, "covmats", 17731 | stan::model::index_uni(2)), 17732 | stan::model::rvalue(covmats, "covmats", 17733 | stan::model::index_uni(3)), 17734 | stan::model::rvalue(nclus, "nclus", 17735 | stan::model::index_uni(gg)), 17736 | stan::model::rvalue(cluster_size, "cluster_size", 17737 | stan::model::index_min_max(r2, (clusidx - 1))), 17738 | stan::model::rvalue(Xvar, "Xvar", 17739 | stan::model::index_uni(gg)), 17740 | stan::model::rvalue(Xbetvar, "Xbetvar", 17741 | stan::model::index_uni(gg)), 17742 | stan::model::rvalue(Nx, "Nx", 17743 | stan::model::index_uni(gg)), 17744 | stan::model::rvalue(Nx_between, "Nx_between", 17745 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 372 | hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:126:21: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t, stan::value_type_t&) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 126 | return read_corr_L(CPCs_ref, K); | ~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:15015:0: required from here 15013 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 15014 | std::vector>, 15015 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 15016 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:109:16: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 109 | logp -= sum(beta_val * y_val) * N / max_size(beta, y); | ~~~^~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14689:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14689 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14690 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]’ 469 | call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func); | ~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 1; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:44:20: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 44 | return ldlt.solve( | ~~~~~~~~~~^ 45 | Eigen::Matrix::Identity( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 46 | m.rows(), m.cols())); | ~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:16304:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16304 | stan::math::inverse_spd( 16305 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:44:20: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 44 | return ldlt.solve( | ~~~~~~~~~~^ 45 | Eigen::Matrix::Identity( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 46 | m.rows(), m.cols())); | ~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:16304:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16304 | stan::math::inverse_spd( 16305 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:0: required from ‘void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::VectorBlock, -1>; T2 = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >&; stan::require_all_eigen_t* = 0]’ 92 | x = std::forward(y); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:141:0: required from ‘void stan::model::assign(Vec1&&, const Vec2&, const char*, index_min_max) [with Vec1 = Eigen::Matrix&; Vec2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]’ 141 | internal::assign_impl(x.segment(slice_start, slice_size), y, name); stanExports_stanmarg.h:18213:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18213 | stan::model::assign(log_lik, 18214 | stan::math::subtract( 18215 | stan::model::deep_copy( 18216 | stan::model::rvalue(log_lik, "log_lik", 18217 | stan::model::index_min_max(r1, r2))), 18218 | stan::model::rvalue(log_lik_x_full, "log_lik_x_full", 18219 | stan::model::index_min_max(r1, r2))), 18220 | "assigning variable log_lik", 18221 | stan::model::index_min_max(r1, r2)); stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Derived = Eigen::Array]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:288:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >, -1, 1, false> >; SrcXprType = Eigen::Array; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >, -1, 1, false> >; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Array; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19940:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19940 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22508:0: required from here 22508 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: required from ‘struct Eigen::internal::blas_traits, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 506 | >::type DirectLinearAccessType; | ^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:422:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense > >, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 233 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> > >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false> > >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, -1, -1, false> > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, -1, -1, false> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, Eigen::Transpose, -1, -1, false> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true>, Eigen::Transpose, -1, -1, false> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true>, Eigen::Transpose, -1, -1, false> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 1, -1, true>, Eigen::Transpose, -1, -1, false> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 1, -1, true>, Eigen::Transpose, -1, -1, false> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 1, -1, true>, Eigen::Transpose, -1, -1, false> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false> >, 1, -1, true>, Eigen::Transpose, -1, -1, false> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, -1, -1, false> > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, -1, -1, false> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block > > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block > > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block > > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block > > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block > > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block > > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > > >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block > > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, Eigen::Transpose > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, Eigen::Transpose > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, Eigen::Transpose > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, false>, Eigen::Transpose > > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, false>, Eigen::Transpose > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, false>, Eigen::Transpose > > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, 1, -1, false>, Eigen::Transpose > > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_left_ldlt.hpp:37:24: required from ‘Eigen::Matrix::type, -1, EigMat::ColsAtCompileTime> stan::math::mdivide_left_ldlt(LDLT_factor&, const EigMat&) [with T = Eigen::Matrix; EigMat = Eigen::Matrix; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_any_not_t::type>, stan::is_fvar::type, void> >* = 0; typename stan::return_type::type = double]’ 37 | return A.ldlt().solve( | ~~~~~~~~~~~~~~^ 38 | Eigen::Matrix, EigMat::RowsAtCompileTime, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 39 | EigMat::ColsAtCompileTime>(b)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = double]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:18267:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18267 | stan::math::wishart_lpdf( 18268 | stan::math::multiply( 18269 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18270 | 1), 18271 | stan::model::rvalue(Sstar, "Sstar", 18272 | stan::model::index_uni(mm))), 18273 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18274 | 1), 18275 | stan::model::rvalue(Sigma, "Sigma", 18276 | stan::model::index_uni(mm))), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:31: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept > > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: required from ‘bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator > >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/iterator_range_core.hpp:644:32: required from ‘bool boost::operator==(const iterator_range&, const iterator_range&) [with Iterator1T = __gnu_cxx::__normal_iterator >; Iterator2T = __gnu_cxx::__normal_iterator >]’ 644 | return boost::equal( l, r ); | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/find_iterator.hpp:359:0: required from ‘bool boost::algorithm::split_iterator::equal(const boost::algorithm::split_iterator&) const [with IteratorT = __gnu_cxx::__normal_iterator >]’ 359 | m_Match==Other.m_Match && /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:649:26: required from ‘static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; mpl_::true_ = mpl_::bool_]’ 649 | return f1.equal(f2); | ~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:981:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator==(const iterator_facade&, const iterator_facade&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference1 = long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_adaptor.hpp:305:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:337: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25: required from ‘void Eigen::LLT::solveInPlace(const Eigen::MatrixBase&) const [with Derived = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 520 | matrixL().solveInPlace(bAndX); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:56:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4445:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 6; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 6; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 6; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 6; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 0>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 2, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 2, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 2, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 2, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 2, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 2, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 2, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 2, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]’ 251 | PacketScalar packet_res0 = eval.template packet(alignedStart); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 511 | RealScalar threshold_helper = numext::abs2(m_colNormsUpdated.maxCoeff() * NumTraits::epsilon()) / RealScalar(rows); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | actualPanelWidth, actual_mc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 321 | actual_kc, j2); | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> > >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> > >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose > > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose > > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose > > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose > > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose > > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose > > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > > >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > > >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ 113 | LhsNested m_lhs; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:166: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ 89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:26:0: required from here 26 | g = eigenvectors * eigenprojections; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:88:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 88 | lp -= 0.5 * nu_ref * log_determinant_ldlt(ldlt_S); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:88:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 88 | lp -= 0.5 * nu_ref * log_determinant_ldlt(ldlt_S); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Solve >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Solve >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 599 | dst.row(i) /= vecD(i); | ~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 346 | pack_rhs_panel(blockB+j2*actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ 347 | rhs.getSubMapper(actual_k2+panelOffset, actual_j2), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 348 | panelLength, actualPanelWidth, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | actual_kc, panelOffset); | ~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; int ProductTag = 8; Scalar = double]’ 783 | triangular_product_impl::run(dst, lhs, rhs.nestedExpression(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block > >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block > >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~~~ 40 | .solve(Eigen::Matrix(b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | .transpose()) | ~~~~~~~~~~~~~ 42 | .transpose(); | ~~~~~~~~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from ‘Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 22 | res_map = matrix; | ~~~~~~~~^~~~~~~~ stanExports_stanmarg.h:15802:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15802 | stan::math::to_vector( 15803 | stan::math::multiply( 15804 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15805 | stan::model::index_uni(g)), 15806 | stan::model::rvalue(Alpha, "Alpha", 15807 | stan::model::index_uni(g), 15808 | stan::model::index_min_max(1, m), 15809 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, false> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>; U = Eigen::Block > > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block > > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 48 | arena_B.adj() += arena_A_val.transpose() * res_adj; stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = false; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h:639:76: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const true_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 639 | bool MapExternalBuffer = nested_eval::Evaluate && Xpr::MaxSizeAtCompileTime==Dynamic | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:293:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const true_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 293 | func(dst.row(i), lhsEval.coeff(i,Index(0)) * actual_rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17369:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17369 | stan::math::tcrossprod( 17370 | stan::math::to_matrix( 17371 | stan::math::subtract( 17372 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17373 | stan::model::index_uni(ii)), 17374 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17375 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 38 | arena_t res = arena_A_val * arena_B_val; stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 57 | arena_t res = arena_A * arena_B.val_op(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 68 | arena_t res = arena_A.val_op() * arena_B; stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from ‘Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 22 | res_map = matrix; | ~~~~~~~~^~~~~~~~ stanExports_stanmarg.h:15802:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15802 | stan::math::to_vector( 15803 | stan::math::multiply( 15804 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15805 | stan::model::index_uni(g)), 15806 | stan::model::rvalue(Alpha, "Alpha", 15807 | stan::model::index_uni(g), 15808 | stan::model::index_min_max(1, m), 15809 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::Product, Eigen::Matrix, 0>; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3272:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3272 | stan::model::assign(Sigma_yz_zi, 3273 | stan::math::multiply(Sigma_yz, Sigma_zz_inv), 3274 | "assigning variable Sigma_yz_zi"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::Product, Eigen::Matrix, 0>; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3272:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3272 | stan::model::assign(Sigma_yz_zi, 3273 | stan::math::multiply(Sigma_yz, Sigma_zz_inv), 3274 | "assigning variable Sigma_yz_zi"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > > >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > > >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ 125 | Map >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Transpose > >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:18036:0: required from here 18036 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 68 | arena_t res = arena_A.val_op() * arena_B; stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15744:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15744 | stan::math::quad_form_sym( 15745 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15746 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4435:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4435 | stan::model::assign(out, 4436 | stan::math::subtract( 4437 | stan::model::rvalue(Sigmainv, "Sigmainv", 4438 | stan::model::index_multi( 4439 | stan::model::rvalue(obsidx, "obsidx", 4440 | stan::model::index_min_max(1, Nobs))), 4441 | stan::model::index_multi( 4442 | stan::model::rvalue(obsidx, "obsidx", 4443 | stan::model::index_min_max(1, Nobs)))), 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4446 | stan::model::index_min_max(1, Nobs), 4447 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16317:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16317 | sig_inv_update( 16318 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16319 | stan::model::index_uni( 16320 | stan::model::rvalue(grpnum, "grpnum", 16321 | stan::model::index_uni(patt)))), 16322 | stan::model::rvalue(Obsvar, "Obsvar", 16323 | stan::model::index_uni(patt), stan::model::index_omni()), 16324 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16325 | (p + q), 16326 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16327 | stan::model::index_uni( 16328 | stan::model::rvalue(grpnum, "grpnum", 16329 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4435:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4435 | stan::model::assign(out, 4436 | stan::math::subtract( 4437 | stan::model::rvalue(Sigmainv, "Sigmainv", 4438 | stan::model::index_multi( 4439 | stan::model::rvalue(obsidx, "obsidx", 4440 | stan::model::index_min_max(1, Nobs))), 4441 | stan::model::index_multi( 4442 | stan::model::rvalue(obsidx, "obsidx", 4443 | stan::model::index_min_max(1, Nobs)))), 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4446 | stan::model::index_min_max(1, Nobs), 4447 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16317:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16317 | sig_inv_update( 16318 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16319 | stan::model::index_uni( 16320 | stan::model::rvalue(grpnum, "grpnum", 16321 | stan::model::index_uni(patt)))), 16322 | stan::model::rvalue(Obsvar, "Obsvar", 16323 | stan::model::index_uni(patt), stan::model::index_omni()), 16324 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16325 | (p + q), 16326 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16327 | stan::model::index_uni( 16328 | stan::model::rvalue(grpnum, "grpnum", 16329 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, -1, -1, false> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, -1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, -1, false> > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::Product, Eigen::Matrix, 0>; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3272:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3272 | stan::model::assign(Sigma_yz_zi, 3273 | stan::math::multiply(Sigma_yz, Sigma_zz_inv), 3274 | "assigning variable Sigma_yz_zi"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector, -1, -1>, std::allocator, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value; Sizes = {int}; stan::require_std_vector_t* = 0; T = stan::math::var_value; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:12986:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12984 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 12985 | std::vector>, 12986 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 12987 | Psi_r_mat_1_3dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector, -1, -1>, std::allocator, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value; Sizes = {int}; stan::require_std_vector_t* = 0; T = stan::math::var_value; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:12986:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12984 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 12985 | std::vector>, 12986 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 12987 | Psi_r_mat_1_3dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 38 | arena_t res = arena_A_val * arena_B_val; stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 38 | arena_t res = arena_A_val * arena_B_val; stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 57 | arena_t res = arena_A * arena_B.val_op(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 68 | arena_t res = arena_A.val_op() * arena_B; stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 68 | arena_t res = arena_A.val_op() * arena_B; stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:88:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 88 | lp -= 0.5 * nu_ref * log_determinant_ldlt(ldlt_S); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from ‘Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 22 | res_map = matrix; | ~~~~~~~~^~~~~~~~ stanExports_stanmarg.h:15802:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15802 | stan::math::to_vector( 15803 | stan::math::multiply( 15804 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15805 | stan::model::index_uni(g)), 15806 | stan::model::rvalue(Alpha, "Alpha", 15807 | stan::model::index_uni(g), 15808 | stan::model::index_min_max(1, m), 15809 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4435:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4435 | stan::model::assign(out, 4436 | stan::math::subtract( 4437 | stan::model::rvalue(Sigmainv, "Sigmainv", 4438 | stan::model::index_multi( 4439 | stan::model::rvalue(obsidx, "obsidx", 4440 | stan::model::index_min_max(1, Nobs))), 4441 | stan::model::index_multi( 4442 | stan::model::rvalue(obsidx, "obsidx", 4443 | stan::model::index_min_max(1, Nobs)))), 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4446 | stan::model::index_min_max(1, Nobs), 4447 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16317:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16317 | sig_inv_update( 16318 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16319 | stan::model::index_uni( 16320 | stan::model::rvalue(grpnum, "grpnum", 16321 | stan::model::index_uni(patt)))), 16322 | stan::model::rvalue(Obsvar, "Obsvar", 16323 | stan::model::index_uni(patt), stan::model::index_omni()), 16324 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16325 | (p + q), 16326 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16327 | stan::model::index_uni( 16328 | stan::model::rvalue(grpnum, "grpnum", 16329 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:4181:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4181 | stan::model::assign(T2p11, 4182 | stan::math::subtract(Sig11, 4183 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4184 | stan::math::transpose(Sig12))), "assigning variable T2p11"); stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:4181:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4181 | stan::model::assign(T2p11, 4182 | stan::math::subtract(Sig11, 4183 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4184 | stan::math::transpose(Sig12))), "assigning variable T2p11"); stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, false> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false> > >, -1, 1, true>; Derived = Eigen::Block, -1, -1, false> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 48 | arena_B.adj() += arena_A_val.transpose() * res_adj; stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17122:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17122 | stan::math::wishart_rng( 17123 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17124 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17125 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:4192:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4192 | stan::model::assign(ymis, 4193 | stan::math::add( 4194 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx), 4195 | stan::model::index_multi( 4196 | stan::model::rvalue(obsidx, "obsidx", 4197 | stan::model::index_min_max( 4198 | (stan::model::rvalue(Nobs, "Nobs", 4199 | stan::model::index_uni(mm)) + 1), p)))), 4200 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4201 | stan::math::subtract( 4202 | stan::model::rvalue(YXstar, "YXstar", 4203 | stan::model::index_uni(jj), 4204 | stan::model::index_min_max(1, 4205 | stan::model::rvalue(Nobs, "Nobs", 4206 | stan::model::index_uni(mm)))), 4207 | stan::model::rvalue(Mu, "Mu", 4208 | stan::model::index_uni(grpidx), 4209 | stan::model::index_multi( 4210 | stan::model::rvalue(obsidx, "obsidx", 4211 | stan::model::index_min_max(1, 4212 | stan::model::rvalue(Nobs, "Nobs", 4213 | stan::model::index_uni(mm))))))))), 4214 | "assigning variable ymis"); stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::Product, Eigen::Matrix, 0>; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3272:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3272 | stan::model::assign(Sigma_yz_zi, 3273 | stan::math::multiply(Sigma_yz, Sigma_zz_inv), 3274 | "assigning variable Sigma_yz_zi"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::Product, Eigen::Matrix, 0>; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3272:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3272 | stan::model::assign(Sigma_yz_zi, 3273 | stan::math::multiply(Sigma_yz, Sigma_zz_inv), 3274 | "assigning variable Sigma_yz_zi"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 57 | arena_t res = arena_A * arena_B.val_op(); stanExports_stanmarg.h:13638:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13638 | stan::math::multiply( 13639 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13640 | stan::model::index_uni(g)), 13641 | stan::model::rvalue(Alpha, "Alpha", 13642 | stan::model::index_uni(g), 13643 | stan::model::index_min_max(1, m), 13644 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3306:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3306 | stan::math::crossprod( 3307 | stan::math::transpose( 3308 | stan::math::to_matrix( 3309 | stan::math::subtract( 3310 | stan::model::rvalue(mean_d, "mean_d", 3311 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14275:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14275 | lp_accum__.add(twolevel_logdens( 14276 | stan::model::rvalue(mean_d, "mean_d", 14277 | stan::model::index_min_max(r3, r4)), 14278 | stan::model::rvalue(cov_d, "cov_d", 14279 | stan::model::index_min_max(r3, r4)), 14280 | stan::model::rvalue(S_PW, "S_PW", 14281 | stan::model::index_uni(grpidx)), 14282 | stan::model::rvalue(YX, "YX", 14283 | stan::model::index_min_max(rr1, rr2)), 14284 | stan::model::rvalue(nclus, "nclus", 14285 | stan::model::index_uni(grpidx), 14286 | stan::model::index_omni()), 14287 | stan::model::rvalue(cluster_size, 14288 | "cluster_size", 14289 | stan::model::index_min_max(r1, r2)), 14290 | stan::model::rvalue(cluster_sizes, 14291 | "cluster_sizes", 14292 | stan::model::index_min_max(r3, r4)), 14293 | stan::model::rvalue(ncluster_sizes, 14294 | "ncluster_sizes", 14295 | stan::model::index_uni(grpidx)), 14296 | stan::model::rvalue(cluster_size_ns, 14297 | "cluster_size_ns", 14298 | stan::model::index_min_max(r3, r4)), 14299 | stan::model::rvalue(Mu, "Mu", 14300 | stan::model::index_uni(grpidx)), 14301 | stan::model::rvalue(Sigma, "Sigma", 14302 | stan::model::index_uni(grpidx)), 14303 | stan::model::rvalue(Mu_c, "Mu_c", 14304 | stan::model::index_uni(grpidx)), 14305 | stan::model::rvalue(Sigma_c, "Sigma_c", 14306 | stan::model::index_uni(grpidx)), ov_idx1, 14307 | ov_idx2, within_idx, between_idx, both_idx, 14308 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4502:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4502 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4503 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14485:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14485 | lp_accum__.add(multi_normal_suff( 14486 | stan::model::rvalue(YXbarstar, 14487 | "YXbarstar", stan::model::index_uni(mm), 14488 | stan::model::index_min_max(1, 14489 | stan::model::rvalue(Nobs, "Nobs", 14490 | stan::model::index_uni(mm)))), 14491 | stan::model::rvalue(Sstar, "Sstar", 14492 | stan::model::index_uni(mm), 14493 | stan::model::index_min_max(1, 14494 | stan::model::rvalue(Nobs, "Nobs", 14495 | stan::model::index_uni(mm))), 14496 | stan::model::index_min_max(1, 14497 | stan::model::rvalue(Nobs, "Nobs", 14498 | stan::model::index_uni(mm)))), 14499 | stan::model::rvalue(Mu, "Mu", 14500 | stan::model::index_uni(grpidx), 14501 | stan::model::index_multi( 14502 | stan::model::rvalue(obsidx, "obsidx", 14503 | stan::model::index_min_max(1, 14504 | stan::model::rvalue(Nobs, "Nobs", 14505 | stan::model::index_uni(mm)))))), 14506 | stan::model::rvalue(Sigmainv, "Sigmainv", 14507 | stan::model::index_uni(mm), 14508 | stan::model::index_min_max(1, 14509 | (stan::model::rvalue(Nobs, "Nobs", 14510 | stan::model::index_uni(mm)) + 1)), 14511 | stan::model::index_min_max(1, 14512 | (stan::model::rvalue(Nobs, "Nobs", 14513 | stan::model::index_uni(mm)) + 1))), 14514 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16309:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16309 | stan::math::log_determinant( 16310 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4435:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4435 | stan::model::assign(out, 4436 | stan::math::subtract( 4437 | stan::model::rvalue(Sigmainv, "Sigmainv", 4438 | stan::model::index_multi( 4439 | stan::model::rvalue(obsidx, "obsidx", 4440 | stan::model::index_min_max(1, Nobs))), 4441 | stan::model::index_multi( 4442 | stan::model::rvalue(obsidx, "obsidx", 4443 | stan::model::index_min_max(1, Nobs)))), 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4446 | stan::model::index_min_max(1, Nobs), 4447 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16317:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16317 | sig_inv_update( 16318 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16319 | stan::model::index_uni( 16320 | stan::model::rvalue(grpnum, "grpnum", 16321 | stan::model::index_uni(patt)))), 16322 | stan::model::rvalue(Obsvar, "Obsvar", 16323 | stan::model::index_uni(patt), stan::model::index_omni()), 16324 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16325 | (p + q), 16326 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16327 | stan::model::index_uni( 16328 | stan::model::rvalue(grpnum, "grpnum", 16329 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4435:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4435 | stan::model::assign(out, 4436 | stan::math::subtract( 4437 | stan::model::rvalue(Sigmainv, "Sigmainv", 4438 | stan::model::index_multi( 4439 | stan::model::rvalue(obsidx, "obsidx", 4440 | stan::model::index_min_max(1, Nobs))), 4441 | stan::model::index_multi( 4442 | stan::model::rvalue(obsidx, "obsidx", 4443 | stan::model::index_min_max(1, Nobs)))), 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4446 | stan::model::index_min_max(1, Nobs), 4447 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16317:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16317 | sig_inv_update( 16318 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16319 | stan::model::index_uni( 16320 | stan::model::rvalue(grpnum, "grpnum", 16321 | stan::model::index_uni(patt)))), 16322 | stan::model::rvalue(Obsvar, "Obsvar", 16323 | stan::model::index_uni(patt), stan::model::index_omni()), 16324 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16325 | (p + q), 16326 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16327 | stan::model::index_uni( 16328 | stan::model::rvalue(grpnum, "grpnum", 16329 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ 71 | triangular_solve_vector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:644:39: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::ColPivHouseholderQR::Scalar = double]’ 644 | dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant.hpp:23:0: required from ‘stan::math::var stan::math::log_determinant(const T&) [with T = Eigen::Matrix, -1, -1>; stan::require_rev_matrix_t* = 0; var = var_value]’ 23 | auto arena_m_inv_transpose = to_arena(m_hh.inverse().transpose()); stanExports_stanmarg.h:14144:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14144 | stan::math::log_determinant( 14145 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14327:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14327 | lp_accum__.add(stan::math::wishart_lpdf( 14328 | stan::math::multiply( 14329 | (stan::model::rvalue(N, "N", 14330 | stan::model::index_uni(g)) - 1), 14331 | stan::model::rvalue(Sstar, "Sstar", 14332 | stan::model::index_uni(g))), 14333 | (stan::model::rvalue(N, "N", 14334 | stan::model::index_uni(g)) - 1), 14335 | stan::model::rvalue(Sigma, "Sigma", 14336 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:4181:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4181 | stan::model::assign(T2p11, 4182 | stan::math::subtract(Sig11, 4183 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4184 | stan::math::transpose(Sig12))), "assigning variable T2p11"); stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:4181:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4181 | stan::model::assign(T2p11, 4182 | stan::math::subtract(Sig11, 4183 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4184 | stan::math::transpose(Sig12))), "assigning variable T2p11"); stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:4192:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4192 | stan::model::assign(ymis, 4193 | stan::math::add( 4194 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx), 4195 | stan::model::index_multi( 4196 | stan::model::rvalue(obsidx, "obsidx", 4197 | stan::model::index_min_max( 4198 | (stan::model::rvalue(Nobs, "Nobs", 4199 | stan::model::index_uni(mm)) + 1), p)))), 4200 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4201 | stan::math::subtract( 4202 | stan::model::rvalue(YXstar, "YXstar", 4203 | stan::model::index_uni(jj), 4204 | stan::model::index_min_max(1, 4205 | stan::model::rvalue(Nobs, "Nobs", 4206 | stan::model::index_uni(mm)))), 4207 | stan::model::rvalue(Mu, "Mu", 4208 | stan::model::index_uni(grpidx), 4209 | stan::model::index_multi( 4210 | stan::model::rvalue(obsidx, "obsidx", 4211 | stan::model::index_min_max(1, 4212 | stan::model::rvalue(Nobs, "Nobs", 4213 | stan::model::index_uni(mm))))))))), 4214 | "assigning variable ymis"); stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, -1, -1, false> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, -1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, -1, false> > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4245:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4245 | stan::math::crossprod( 4246 | stan::model::rvalue(YXfull, "YXfull", 4247 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~~~ 40 | .solve(Eigen::Matrix(b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | .transpose()) | ~~~~~~~~~~~~~ 42 | .transpose(); | ~~~~~~~~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~~~ 40 | .solve(Eigen::Matrix(b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | .transpose()) | ~~~~~~~~~~~~~ 42 | .transpose(); | ~~~~~~~~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector, -1, -1>, std::allocator, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value; Sizes = {int}; stan::require_std_vector_t* = 0; T = stan::math::var_value; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:12986:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12984 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 12985 | std::vector>, 12986 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 12987 | Psi_r_mat_1_3dim__); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4444:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14152:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14152 | sig_inv_update( 14153 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14154 | stan::model::index_uni( 14155 | stan::model::rvalue(grpnum, "grpnum", 14156 | stan::model::index_uni(patt)))), 14157 | stan::model::rvalue(Obsvar, "Obsvar", 14158 | stan::model::index_uni(patt), stan::model::index_omni()), 14159 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14160 | (p + q), 14161 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14162 | stan::model::index_uni( 14163 | stan::model::rvalue(grpnum, "grpnum", 14164 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4435:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4435 | stan::model::assign(out, 4436 | stan::math::subtract( 4437 | stan::model::rvalue(Sigmainv, "Sigmainv", 4438 | stan::model::index_multi( 4439 | stan::model::rvalue(obsidx, "obsidx", 4440 | stan::model::index_min_max(1, Nobs))), 4441 | stan::model::index_multi( 4442 | stan::model::rvalue(obsidx, "obsidx", 4443 | stan::model::index_min_max(1, Nobs)))), 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4446 | stan::model::index_min_max(1, Nobs), 4447 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16317:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16317 | sig_inv_update( 16318 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16319 | stan::model::index_uni( 16320 | stan::model::rvalue(grpnum, "grpnum", 16321 | stan::model::index_uni(patt)))), 16322 | stan::model::rvalue(Obsvar, "Obsvar", 16323 | stan::model::index_uni(patt), stan::model::index_omni()), 16324 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16325 | (p + q), 16326 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16327 | stan::model::index_uni( 16328 | stan::model::rvalue(grpnum, "grpnum", 16329 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:4192:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4192 | stan::model::assign(ymis, 4193 | stan::math::add( 4194 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx), 4195 | stan::model::index_multi( 4196 | stan::model::rvalue(obsidx, "obsidx", 4197 | stan::model::index_min_max( 4198 | (stan::model::rvalue(Nobs, "Nobs", 4199 | stan::model::index_uni(mm)) + 1), p)))), 4200 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4201 | stan::math::subtract( 4202 | stan::model::rvalue(YXstar, "YXstar", 4203 | stan::model::index_uni(jj), 4204 | stan::model::index_min_max(1, 4205 | stan::model::rvalue(Nobs, "Nobs", 4206 | stan::model::index_uni(mm)))), 4207 | stan::model::rvalue(Mu, "Mu", 4208 | stan::model::index_uni(grpidx), 4209 | stan::model::index_multi( 4210 | stan::model::rvalue(obsidx, "obsidx", 4211 | stan::model::index_min_max(1, 4212 | stan::model::rvalue(Nobs, "Nobs", 4213 | stan::model::index_uni(mm))))))))), 4214 | "assigning variable ymis"); stanExports_stanmarg.h:17860:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17860 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17861 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15786:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15786 | stan::math::quad_form_sym( 15787 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15788 | stan::math::transpose( 15789 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15790 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4435:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4435 | stan::model::assign(out, 4436 | stan::math::subtract( 4437 | stan::model::rvalue(Sigmainv, "Sigmainv", 4438 | stan::model::index_multi( 4439 | stan::model::rvalue(obsidx, "obsidx", 4440 | stan::model::index_min_max(1, Nobs))), 4441 | stan::model::index_multi( 4442 | stan::model::rvalue(obsidx, "obsidx", 4443 | stan::model::index_min_max(1, Nobs)))), 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4446 | stan::model::index_min_max(1, Nobs), 4447 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16317:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16317 | sig_inv_update( 16318 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16319 | stan::model::index_uni( 16320 | stan::model::rvalue(grpnum, "grpnum", 16321 | stan::model::index_uni(patt)))), 16322 | stan::model::rvalue(Obsvar, "Obsvar", 16323 | stan::model::index_uni(patt), stan::model::index_omni()), 16324 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16325 | (p + q), 16326 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16327 | stan::model::index_uni( 16328 | stan::model::rvalue(grpnum, "grpnum", 16329 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4435:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4435 | stan::model::assign(out, 4436 | stan::math::subtract( 4437 | stan::model::rvalue(Sigmainv, "Sigmainv", 4438 | stan::model::index_multi( 4439 | stan::model::rvalue(obsidx, "obsidx", 4440 | stan::model::index_min_max(1, Nobs))), 4441 | stan::model::index_multi( 4442 | stan::model::rvalue(obsidx, "obsidx", 4443 | stan::model::index_min_max(1, Nobs)))), 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4446 | stan::model::index_min_max(1, Nobs), 4447 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16317:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16317 | sig_inv_update( 16318 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16319 | stan::model::index_uni( 16320 | stan::model::rvalue(grpnum, "grpnum", 16321 | stan::model::index_uni(patt)))), 16322 | stan::model::rvalue(Obsvar, "Obsvar", 16323 | stan::model::index_uni(patt), stan::model::index_omni()), 16324 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16325 | (p + q), 16326 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16327 | stan::model::index_uni( 16328 | stan::model::rvalue(grpnum, "grpnum", 16329 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18523:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18523 | stan::math::multi_normal_lpdf( 18524 | stan::model::rvalue(YXstar, "YXstar", 18525 | stan::model::index_uni(jj), 18526 | stan::model::index_multi( 18527 | stan::model::rvalue(xdatidx, "xdatidx", 18528 | stan::model::index_min_max(1, 18529 | stan::model::rvalue(Nx, "Nx", 18530 | stan::model::index_uni(mm)))))), 18531 | stan::model::rvalue(Mu, "Mu", 18532 | stan::model::index_uni(grpidx), 18533 | stan::model::index_multi( 18534 | stan::model::rvalue(xidx, "xidx", 18535 | stan::model::index_min_max(1, 18536 | stan::model::rvalue(Nx, "Nx", 18537 | stan::model::index_uni(mm)))))), 18538 | stan::model::rvalue(Sigma, "Sigma", 18539 | stan::model::index_uni(grpidx), 18540 | stan::model::index_multi( 18541 | stan::model::rvalue(xidx, "xidx", 18542 | stan::model::index_min_max(1, 18543 | stan::model::rvalue(Nx, "Nx", 18544 | stan::model::index_uni(mm))))), 18545 | stan::model::index_multi( 18546 | stan::model::rvalue(xidx, "xidx", 18547 | stan::model::index_min_max(1, 18548 | stan::model::rvalue(Nx, "Nx", 18549 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14424:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14424 | lp_accum__.add(stan::math::multi_normal_lpdf( 14425 | stan::model::rvalue(YXstar, "YXstar", 14426 | stan::model::index_min_max(r1, r2), 14427 | stan::model::index_min_max(1, 14428 | stan::model::rvalue(Nobs, "Nobs", 14429 | stan::model::index_uni(mm)))), 14430 | stan::model::rvalue(Mu, "Mu", 14431 | stan::model::index_uni(grpidx), 14432 | stan::model::index_multi( 14433 | stan::model::rvalue(obsidx, "obsidx", 14434 | stan::model::index_min_max(1, 14435 | stan::model::rvalue(Nobs, "Nobs", 14436 | stan::model::index_uni(mm)))))), 14437 | stan::model::rvalue(Sigma, "Sigma", 14438 | stan::model::index_uni(grpidx), 14439 | stan::model::index_multi( 14440 | stan::model::rvalue(obsidx, "obsidx", 14441 | stan::model::index_min_max(1, 14442 | stan::model::rvalue(Nobs, "Nobs", 14443 | stan::model::index_uni(mm))))), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(obsidx, "obsidx", 14446 | stan::model::index_min_max(1, 14447 | stan::model::rvalue(Nobs, "Nobs", 14448 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22491:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22491 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~~~ 40 | .solve(Eigen::Matrix(b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | .transpose()) | ~~~~~~~~~~~~~ 42 | .transpose(); | ~~~~~~~~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4435:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4435 | stan::model::assign(out, 4436 | stan::math::subtract( 4437 | stan::model::rvalue(Sigmainv, "Sigmainv", 4438 | stan::model::index_multi( 4439 | stan::model::rvalue(obsidx, "obsidx", 4440 | stan::model::index_min_max(1, Nobs))), 4441 | stan::model::index_multi( 4442 | stan::model::rvalue(obsidx, "obsidx", 4443 | stan::model::index_min_max(1, Nobs)))), 4444 | stan::math::multiply(stan::math::transpose(A), 4445 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4446 | stan::model::index_min_max(1, Nobs), 4447 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16317:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16317 | sig_inv_update( 16318 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16319 | stan::model::index_uni( 16320 | stan::model::rvalue(grpnum, "grpnum", 16321 | stan::model::index_uni(patt)))), 16322 | stan::model::rvalue(Obsvar, "Obsvar", 16323 | stan::model::index_uni(patt), stan::model::index_omni()), 16324 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16325 | (p + q), 16326 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16327 | stan::model::index_uni( 16328 | stan::model::rvalue(grpnum, "grpnum", 16329 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~~~ 40 | .solve(Eigen::Matrix(b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | .transpose()) | ~~~~~~~~~~~~~ 42 | .transpose(); | ~~~~~~~~~~^~ stanExports_stanmarg.h:15736:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15736 | stan::math::mdivide_right( 15737 | stan::model::rvalue(Lambda_y, "Lambda_y", 15738 | stan::model::index_uni(g)), 15739 | stan::math::subtract(I, 15740 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3413:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3413 | stan::model::assign(Vinv_11, 3414 | stan::math::add(Sigma_zz_inv, 3415 | stan::math::multiply(nj, 3416 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3417 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18174:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18174 | twolevel_logdens( 18175 | stan::model::rvalue(mean_d_full, "mean_d_full", 18176 | stan::model::index_min_max(r1, r2)), 18177 | stan::model::rvalue(cov_d_full, "cov_d_full", 18178 | stan::model::index_min_max(r1, r2)), 18179 | stan::model::rvalue(S_PW, "S_PW", 18180 | stan::model::index_uni(grpidx)), 18181 | stan::model::rvalue(YX, "YX", 18182 | stan::model::index_min_max(r3, r4)), 18183 | stan::model::rvalue(nclus, "nclus", 18184 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18185 | stan::model::rvalue(cluster_size, "cluster_size", 18186 | stan::model::index_min_max(r1, r2)), 18187 | stan::model::rvalue(cluster_size, "cluster_size", 18188 | stan::model::index_min_max(r1, r2)), 18189 | stan::model::rvalue(nclus, "nclus", 18190 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18191 | stan::model::rvalue(intone, "intone", 18192 | stan::model::index_min_max(1, 18193 | stan::model::rvalue(nclus, "nclus", 18194 | stan::model::index_uni(grpidx), 18195 | stan::model::index_uni(2)))), 18196 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18197 | stan::model::rvalue(Sigma, "Sigma", 18198 | stan::model::index_uni(grpidx)), 18199 | stan::model::rvalue(Mu_c, "Mu_c", 18200 | stan::model::index_uni(grpidx)), 18201 | stan::model::rvalue(Sigma_c, "Sigma_c", 18202 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18203 | within_idx, between_idx, both_idx, p_tilde, N_within, 18204 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22480:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22480 | write_array_impl(base_rng, params_r, params_i, vars, 22481 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:0: recursively required from ‘void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::sum > >(const std::vector, arena_allocator > >&)::]’ 21 | inline void chain() final { rev_functor_(*this); } /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:0: required from here /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:0: recursively required from ‘void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::trace, -1, -1> >(const Eigen::Matrix, -1, -1>&)::]’ 21 | inline void chain() final { rev_functor_(*this); } /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:0: required from here /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:66:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ 66 | -= adjB * alloc_->C_.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:62:0: required from here 62 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:89:0: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 89 | matrix_d adjC = impl_->C_.adj(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:0: required from here 88 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>&>(Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>&>(Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>&>(Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>&>(Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>&>(Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, -1>&>(Eigen::Matrix, -1, -1>&):: [with auto:11 = Eigen::Matrix, -1, -1>]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of, -1, -1>&>(Eigen::Matrix, -1, -1>&)::; Args = {Eigen::Matrix, -1, -1, 0, -1, -1>&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from ‘auto stan::math::value_of(EigMat&&) [with EigMat = Eigen::Matrix, -1, -1>&; stan::require_eigen_dense_base_t* = 0; stan::require_not_st_arithmetic* = 0]’ 73 | return make_holder( | ~~~~~~~~~~~^ 74 | [](auto& a) { | ~~~~~~~~~~~~~ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 76 | }, | ~~ 77 | std::forward(M)); | ~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:0: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 91 | chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:0: required from here 88 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:0: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix, Rb, Cb>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 69 | B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:0: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 78 | chainB(B, Ad, Bd, adjC); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:0: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 91 | chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:0: required from here 88 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 21 | return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:0: required from here 20 | double T(diag_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 21 | return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:0: required from here 20 | double T(diag_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:66:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ 65 | Eigen::Map(variRefA_, M_, M_).adj() 66 | -= adjB * alloc_->C_.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:62:0: required from here 62 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:66:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ 65 | Eigen::Map(variRefA_, M_, M_).adj() 66 | -= adjB * alloc_->C_.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:62:0: required from here 62 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:66:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ 65 | Eigen::Map(variRefA_, M_, M_).adj() 66 | -= adjB * alloc_->C_.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:62:0: required from here 62 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:66:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ 65 | Eigen::Map(variRefA_, M_, M_).adj() 66 | -= adjB * alloc_->C_.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:62:0: required from here 62 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:0: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix, Rb, Cb>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 69 | B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:0: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 78 | chainB(B, Ad, Bd, adjC); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:0: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 91 | chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:0: required from here 88 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ stanExports_stanmarg.h: In constructor ‘model_stanmarg_namespace::model_stanmarg::model_stanmarg(stan::io::var_context&, unsigned int, std::ostream*)’: stanExports_stanmarg.h:5425: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 5425 | model_stanmarg(stan::io::var_context& context__, unsigned int /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:341: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o blavaan.so RcppExports.o stanExports_stanmarg.o -L/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/lib/ -Wl,-rpath,/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/lib/ -ltbb -ltbbmalloc -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpIB18dA/R.INSTALL1f067e3cd16b64/blavaan/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-blavaan/00new/blavaan/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (blavaan) begin installing package ‘tidySEM’ * installing *source* package ‘tidySEM’ ... ** this is package ‘tidySEM’ version ‘0.2.7’ ** package ‘tidySEM’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tidySEM) checking xfun_0.51.tar.gz ... checking annotator_0.0.3.1.tar.gz ... checking blogdown_1.20.tar.gz ... checking bookdown_0.42.tar.gz ... checking clinDataReview_1.6.1.tar.gz ... checking box.linters_0.10.5.tar.gz ... checking clintrialx_0.1.0.tar.gz ... checking daiquiri_1.1.1.tar.gz ... checking details_0.4.0.tar.gz ... checking distill_1.6.tar.gz ... checking emayili_0.9.3.tar.gz ... checking fabR_2.1.0.tar.gz ... checking ftExtra_0.6.4.tar.gz ... checking gitignore_0.1.8.tar.gz ... checking highr_0.11.tar.gz ... checking gofigR_0.2.2.tar.gz ... checking HLAtools_1.3.0.tar.gz ... checking htmlreportR_1.0.0.tar.gz ... checking juicedown_0.1.1.tar.gz ... checking knitr_1.49.tar.gz ... checking knitrdata_0.6.1.tar.gz ... checking leaflet_2.2.2.tar.gz ... checking link2GI_0.6-2.tar.gz ... checking litedown_0.5.tar.gz ... checking markdown_1.13.tar.gz ... checking mathml_1.3.tar.gz ... checking MDMAPR_0.2.3.tar.gz ... checking minidown_0.4.0.tar.gz ... checking sendigR_1.0.0.tar.gz ... checking scientific_2025.0.tar.gz ... checking voiceR_0.1.0.tar.gz ... checking SASmarkdown_0.8.2.tar.gz ... checking pagedown_0.22.tar.gz ... checking personalr_1.0.3.tar.gz ... checking Statamarkdown_0.9.2.tar.gz ... checking accessr_1.1.1.tar.gz ... checking worcs_0.1.17.tar.gz ... checking rebib_0.5.0.tar.gz ... checking tinytex_0.54.tar.gz ... checking vitae_0.6.0.tar.gz ... checking qwraps2_0.6.1.tar.gz ... checking rjtools_1.0.18.tar.gz ... checking shinyMixR_0.5.0.tar.gz ... checking mfp2_1.0.0.tar.gz ... checking campsismod_1.2.0.tar.gz ... checking pmxcode_0.1.4.tar.gz ... checking campsis_1.6.0.tar.gz ... checking mimsy_0.6.5.tar.gz ... checking rmarkdown_2.29.tar.gz ... checking rtemps_0.8.0.tar.gz ... checking plasso_0.1.2.tar.gz ... checking rcompendium_1.3.tar.gz ... checking polished_0.8.1.tar.gz ... checking tufte_0.13.tar.gz ... checking MPSEM_0.5-1.tar.gz ... checking graphicalMCP_0.2.6.tar.gz ... checking xaringan_0.30.tar.gz ... checking rticles_0.27.tar.gz ... checking leaflet.extras_2.0.1.tar.gz ... checking NMsim_0.1.6.tar.gz ... checking RWsearch_5.2.0.tar.gz ... checking texor_1.5.3.tar.gz ... checking uavRmp_0.7.tar.gz ... checking public.ctn0094data_1.0.6.tar.gz ... checking hdcate_0.1.0.tar.gz ... checking webexercises_1.1.0.tar.gz ... checking leaflet.extras2_1.3.0.tar.gz ... checking FGLMtrunc_0.1.0.tar.gz ... checking islasso_1.5.2.tar.gz ... checking curephEM_0.3.0.tar.gz ... checking servr_0.32.tar.gz ... checking pMEM_0.1-1.tar.gz ... checking BRcal_1.0.1.tar.gz ... checking pathwayTMB_0.1.3.tar.gz ... checking ratlas_0.1.0.tar.gz ... checking multiview_0.8.tar.gz ... checking shinymeta_0.2.0.3.tar.gz ... checking quarto_1.4.4.tar.gz ... checking ddtlcm_0.2.1.tar.gz ... checking socialranking_1.2.0.tar.gz ... checking exams2forms_0.1-0.tar.gz ... checking Rd2roxygen_1.16.tar.gz ... checking glmnet_4.1-8.tar.gz ... Depends: Package: xfun Depends: R (>= 3.2.0) Imports: grDevices, stats, tools Timings: user system elapsed xfun 64.259 5.596 78.623 Results: Check status summary: NOTE OK Source packages 0 1 Reverse depends 16 66 Check results summary: xfun ... OK rdepends_accessr ... OK rdepends_annotator ... NOTE * checking DESCRIPTION meta-information ... NOTE * checking Rd cross-references ... NOTE rdepends_blogdown ... OK rdepends_bookdown ... OK rdepends_box.linters ... OK rdepends_BRcal ... OK rdepends_campsis ... OK rdepends_campsismod ... OK rdepends_clinDataReview ... OK rdepends_clintrialx ... OK rdepends_curephEM ... NOTE * checking Rd cross-references ... NOTE rdepends_daiquiri ... OK rdepends_ddtlcm ... OK rdepends_details ... OK rdepends_distill ... OK rdepends_emayili ... OK rdepends_exams2forms ... OK rdepends_fabR ... OK rdepends_FGLMtrunc ... NOTE * checking C++ specification ... NOTE rdepends_ftExtra ... OK rdepends_gitignore ... OK rdepends_glmnet ... NOTE * checking compiled code ... NOTE rdepends_gofigR ... OK rdepends_graphicalMCP ... OK rdepends_hdcate ... OK rdepends_highr ... OK rdepends_HLAtools ... OK rdepends_htmlreportR ... OK rdepends_islasso ... NOTE * checking Rd cross-references ... NOTE rdepends_juicedown ... NOTE * checking DESCRIPTION meta-information ... NOTE * checking Rd cross-references ... NOTE rdepends_knitr ... NOTE * checking dependencies in R code ... NOTE * checking for unstated dependencies in ‘demo’ ... NOTE rdepends_knitrdata ... OK rdepends_leaflet.extras ... OK rdepends_leaflet.extras2 ... OK rdepends_leaflet ... NOTE * checking Rd cross-references ... NOTE rdepends_link2GI ... OK rdepends_litedown ... OK rdepends_markdown ... OK rdepends_mathml ... OK rdepends_MDMAPR ... OK rdepends_mfp2 ... OK rdepends_mimsy ... OK rdepends_minidown ... OK rdepends_MPSEM ... OK rdepends_multiview ... OK rdepends_NMsim ... OK rdepends_pagedown ... OK rdepends_pathwayTMB ... OK rdepends_personalr ... OK rdepends_plasso ... OK rdepends_pMEM ... OK rdepends_pmxcode ... OK rdepends_polished ... OK rdepends_public.ctn0094data ... OK rdepends_quarto ... OK rdepends_qwraps2 ... OK rdepends_ratlas ... NOTE * checking DESCRIPTION meta-information ... NOTE rdepends_rcompendium ... NOTE * checking Rd cross-references ... NOTE rdepends_Rd2roxygen ... OK rdepends_rebib ... OK rdepends_rjtools ... OK rdepends_rmarkdown ... OK rdepends_rtemps ... OK rdepends_rticles ... OK rdepends_RWsearch ... OK rdepends_SASmarkdown ... NOTE * checking Rd cross-references ... NOTE rdepends_scientific ... OK rdepends_sendigR ... OK rdepends_servr ... OK rdepends_shinymeta ... NOTE * checking Rd cross-references ... NOTE rdepends_shinyMixR ... OK rdepends_socialranking ... NOTE * checking DESCRIPTION meta-information ... NOTE rdepends_Statamarkdown ... NOTE * checking Rd cross-references ... NOTE rdepends_texor ... OK rdepends_tinytex ... OK rdepends_tufte ... NOTE * checking Rd cross-references ... NOTE rdepends_uavRmp ... OK rdepends_vitae ... OK rdepends_voiceR ... OK rdepends_webexercises ... OK rdepends_worcs ... OK rdepends_xaringan ... NOTE * checking Rd cross-references ... NOTE Check results changes: Package: mathml Check: package dependencies Old result: ERROR New result: OK